Databricks
Sr. Forward Deployed Engineer (FDE) - Retail
$182K–$250K
Austin, Texas +1 · Remote · Senior · Full-time · Posted Jul 23, 2026
- Location
- Austin, Texas
Remote - California - Experience
- 6+ years; experience may be in data engineering, data platforms and analytics, or software engineering.
About the job
Build and productionize customer-facing data and AI solutions on the Databricks platform, leading architecture and technical delivery from design through deployment.
What you'll do
- Deliver production-grade customer systems, including data architectures, ingestion, applications, and ML/AI integrations.
- Guide customer architecture, design, implementation, and adoption while coordinating technical delivery with customer and Databricks teams.
- Contribute reusable accelerators and provide product and implementation feedback to Databricks teams.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Code in at least one of Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep distributed-computing experience with Apache Spark and knowledge of Spark runtime internals.
- Experience delivering technical projects and production end-to-end data architectures or applications; working knowledge of CI/CD, MLOps, ML/AI models, and AI APIs.
Nice to have
- Databricks Certification
Pay
$182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary)
Tools
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Integrate ML/AI models and AI APIs into production customer solutions; guide customers on data and AI applications.
Model-written summary · the original posting is authoritative