Senior Forward Deployed Engineer - Digital Native Business
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with customers to build and productionize solutions to their data and 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. This is a hands-on, customer-facing role. The role is San Francisco Bay Area-focused: you should be based there, willing to relocate, or able to travel to the area at least one week per month. Travel to customers is about 20% of the time.
Requirements
- 6+ years 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 cloud ecosystems (AWS, Azure, GCP) with expertise in one
- Deep experience 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 production end-to-end data architectures and applications
- Experience with technical project delivery managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across stakeholders
- Based in, or willing to relocate to or travel to, the San Francisco Bay Area at least one week per month
- Travel to customers 20% of the time
- Databricks Certification
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion and ML/AI model integration
- Guide strategic customers through transformational big data projects and scope delivery work with engagement managers
- Guide customers on architecture and design and bootstrap or implement their projects
- Lead architecture and design decisions ensuring solutions are secure and scalable
- Work with the Databricks technical team, Project Manager, Architect and customer team
- Work with Engineering and Customer Support to provide product feedback and resolve issues
- Embed with customer teams and engage stakeholders from ICs to executives
- Contribute accelerators, frameworks and best practices and influence the product roadmap