Sr. Forward Deployed Engineer (FDE) - Retail
Databricks- Total compensation
- $182k–$250k Published total compensation range
- Location
- Central - United States Remote eligibility
- Employment
- Full-time Senior
About the job
Databricks is the Data and AI company, serving more than 20,000 organizations worldwide, including 70% of the Fortune 500. As a Sr. Forward Deployed Engineer (FDE) - Retail, 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. This is a hands-on, customer-facing role; FDEs are billable and complete projects according to specification with customer empathy.
Impact
- Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integration.
- Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications; work with engagement managers to scope technical delivery.
- Guide customers on architecture and design; bootstrap or implement customer projects to support adoption of Databricks.
- Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Embed with customer teams, engaging stakeholders from technical ICs to executives.
- Contribute accelerators, frameworks, and best practices that scale impact across accounts.
What we look for
- 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 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 combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery, documentation, and white-boarding.
- Experience working with enterprise clients.
- Travel to customers 20% of the time.
Compensation
The pay range for this role is $182,000—$250,208 USD. Total compensation may include eligibility for annual performance bonus, equity, and benefits.
Location
Central - United States.
Skills & tags
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