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About the Role
As a Forward Deployed Engineer (FDE), you will collaborate with customers to build and productionize solutions for their data and AI challenges using the Databricks Platform. You will be responsible for architecture, lead design decisions, and implement end-to-end systems across data engineering, AI, and application development. This hands-on, customer-facing role is for builders who excel at the intersection of technology and business impact, combining engineering expertise with adaptability and curiosity to solve complex problems that drive measurable outcomes.
Responsibilities
- 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.
- 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 with input from the customer.
- Guide customers on architecture and design; bootstrap or implement customer projects to ensure successful understanding, evaluation, and adoption of Databricks.
- Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components meet customer needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement-specific product and support issues.
- Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
Requirements
- 6+ years of 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.
- Experience with 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, including managing scope, timelines, and measurable outcomes, and translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
- Demonstrate curiosity, adaptability, and eagerness to explore new technologies that support the deployment and integration of Databricks-based solutions.
- Travel to customers 20% of the time.
- Databricks Certification.
Skills
- Data Engineering
- Data Platforms & Analytics
- Software Engineering
- Python
- Scala
- JavaScript/TypeScript
- AWS
- Azure
- GCP
- Apache Spark™
- CI/CD
- MLOps
- ML/AI Models
- AI APIs
- Architecture Design
- Project Delivery
- Documentation
- White-boarding
Location
- San Francisco Bay Area
Work Type
- Onsite
- Travel
Experience Level
- 6+ years of experience
Education Level
- Databricks Certification
Salary/Compensations
- $182,000—$250,208 USD
Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
About the Company
- Databricks is the Data and AI company. More than 20,000 organizations worldwide 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.
Equal Opportunity
- 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.