Sr Forward Deployed Engineer
Databricks
Remote - IndiaremotePosted 1 month ago
Skill Required
Professional Services OperationsEngineeringJavaScriptTypeScriptDatabricksBootstrapdesigningbuildingPythondesignScalaSparkAzureCI/CDUnityCloudMachine LearningAPIsAWSGCPCICDAI
Key highlights
- 9+ years of experience required
- 20% travel to customers
- Hands-on, customer-facing role
- Comprehensive benefits package
Role overview
As a Forward Deployed Engineer (FDE) at Databricks, you will work directly with customers to build and productionize solutions for their data and AI challenges using the Databricks platform. This hands-on, customer-facing role involves owning the architecture, leading design decisions, and implementing end-to-end systems spanning data engineering, AI, and application development. FDEs collaborate cross-functionally to shape long-term strategic priorities while delivering with customer empathy, integrating with client systems, and ensuring customers derive maximum value from their data. The role requires a combination of engineering expertise, adaptability, and a passion for solving complex problems that drive measurable business outcomes. FDEs are billable and must complete projects according to specification with exceptional customer focus.
Responsibilities
- Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, data ingestion, and ML/AI model integration
- 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
- Guide customers on architecture and design; bootstrap or implement customer projects to drive successful understanding, evaluation, and adoption of Databricks
- 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
- 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
- Travel to customers 20% of the time
Requirements
- 9+ years of 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
Nice to have
- Databricks Certification
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (region-specific details available via provided link)
Additional details
- FDEs are billable and know how to complete projects according to specification with exceptional customer empathy
- 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
- 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
- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Hiring practices are inclusive and meet equal employment opportunity standards. Individuals 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
- 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