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Solutions Architect - CPG and Manufacturing

FEQ427R473 As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted technical partner to customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are becoming a go-to resource within your team for depth in a specific domain. The Impact You Will Have: Own the end-to-end technical strategy for your accounts — from discovery through production deployment — driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth Lead complex architecture discussions — designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics Serve as a trusted technical partner to customer architects, engineering leads, and Directors — helping shape their data and AI journey on Databricks Develop an emerging technical specialization (archetype) — ideally in AI/ML, agentic architectures, or a related domain — becoming a go-to resource within your team Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps What We Look For: 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales — with a strong track record of hands-on solution building and customer-facing technical leadership Deep expertise in modern data and AI architectures — lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms — with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data foundations to AI/ML outcomes Strong understanding of AI/ML concepts, agentic architectures, and ontology design — including experience with compound AI systems, autonomous agent frameworks, knowledge graphs, and semantic data models that enable intelligent, context-aware applications Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., AI/ML, agentic systems, real-time/streaming, data governance, migrations) Experience with production deployments on public cloud (AWS, Azure, or GCP), including security and governance considerations Track record of driving platform adoption and consumption growth — particularly across AI/ML and data analytics workloads Excellent communication skills — able to translate complex AI and data architectures into business value for technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML Associate/Professional, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in an AI-first company, data platform vendor, or cloud provider Industry domain expertise, preferably in CPG and Manufacturing (Financial Services, Healthcare, Retail, Media, etc. also valued) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Senior Staff Software Engineer - Delta

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Low level systems debugging, performance measurement, and optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Solutions Architect

FEQ128R7 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Sr. Delivery Solutions Architect

FEQ128R38 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence Drive adoption, consumption, and measurable business outcomes through technical strategy and execution Lead complex technical escalations spanning multiple systems, teams, or workloads Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions Mentor DSAs and contribute to technical enablement, specialization, and thought leadership What We Look For 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures Strong coding proficiency in Python, SQL, Scala, or similar languages Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Recognized expertise in a Data and AI specialization or competitive technology Experience influencing product direction through structured customer feedback External technical thought leadership through blogs, conferences, summits, seminars, or industry events Experience mentoring technical talent or leading enablement across teams or regions About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Delivery Solutions Architect

FEQ128R40 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures Experience designing secure, governed, scalable, and production-ready data solutions Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations Experience with AWS, Azure, or GCP and production cloud deployments Experience creating reusable technical frameworks, demos, or enablement that scale across teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Staff Security Engineer, Incident Response

RDQ327R180 Staff Security Engineer, Incident Response The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics. You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks. The impact you will have: You will respond to incidents as part of a distributed 24x7 operations and on-call schedule. You will triage and respond to security events and alerts, ensuring quick and effective containment. You will conduct analysis and forensics across a range of data sources to determine the timeline and impact of security events. You will provide technical leadership and influence team direction. You will develop solutions, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team. You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews. What we look for: Bachelor's Degree AND 7+ years experience in Incident Response work OR Master's Degree AND 5+ years experience. Cloud security expertise in at least 1 of AWS, GCP or Azure, and proficiency in the others. Proficiency in AI/LLM and agentic capabilities. Prefer experience with building and operating agentic systems in a security setting. Broad security subject matter expertise. Expertise in a few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.). Experience with Enterprise Security and SaaS applications. Working knowledge of a SIEM and SOAR. Experience building Incident Response Tooling, scripting language skills and experience with AI coding tools. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Switzerland

Technical Program Manager, FDE

CSQ327R264 At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. The Impact You Will Have Portfolio Success: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. Operational Excellence: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. Strategic Alignment: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. Leadership Hub: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. Mentorship: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For Experience: 5–8 years managing complex technical programs. Technical Bar: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. AI Proficiency: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. Process Innovation: A track record of enhancing delivery standards and implementing changes that improve operational performance. Mandatory Certifications: PMP Certification (Project Management Professional) required within 6 months of hire. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich

Sr. Forward Deployed Engineer - FDE (Fullstack)

CSQ427R397 As a Sr Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Zurich