Databricks
Senior Forward Deployed Engineering - Architect
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REQ ID: FEQ127R254
Location: Hybrid – London
Role Overview
As a Senior Forward Deployed Engineering - Architect, you will collaborate with customers to design and implement solutions for their data and AI challenges using the Databricks platform. You will be responsible for the architecture, leading design decisions, and implementing end-to-end systems that encompass data engineering, AI, and application development. This role involves working cross-functionally to define long-term strategic priorities and initiatives in collaboration with engineering, product, and developer relations teams. FDEs are expected to deliver with a high level of customer empathy, integrating with client systems, providing training, and addressing other technical needs to maximize the value customers derive from their data.
Key Responsibilities
- Production Solution Delivery: Lead 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 in implementing 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 based on customer input.
- Empower Customers: Provide guidance on architecture and design; initiate or implement customer projects that facilitate a 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.
- Collaborative Work: Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to deliver technical components that meet customer needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and resolve 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.
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Requirements
- Extensive experience in data engineering, data platforms & analytics, or software engineering.
- Comfortable writing code in 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.
- Ability to build skills in technical areas and demonstrate curiosity, adaptability, and eagerness to explore new technologies that support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time.
- Databricks Certification preferred but not essential.
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 [https://www.linkedin.com/company/databricks], X [https://x.com/databricks], YouTube [https://www.youtube.com/@Databricks], and Instagram [https://www.instagram.com/databricksinc/?hl=en].
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Benefits
At 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 [https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing].
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.
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