Databricks
Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games
$182K–$250K
Chicago, Illinois +1 · Remote · Senior · Full-time · Posted Mar 12, 2026
- Location
- Chicago, Illinois
Remote - Texas - Experience
- 6+ years 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, owning architecture and delivery from design through deployment.
What you'll do
- Lead customer projects to design and deliver production-grade data architectures, applications, ingestion, and ML/AI integrations.
- Guide customer architecture, adoption, and technical delivery while coordinating with Databricks and customer teams.
- Provide product feedback and create reusable accelerators, frameworks, and best practices.
What they ask for
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to code in 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 Apache Spark distributed-computing experience and knowledge of Spark runtime internals.
- Experience with CI/CD, MLOps, ML/AI models and APIs, production architecture, technical project delivery, and enterprise clients.
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
Databricks, Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark
AI focus
Build and deploy customer data and AI applications, including ML/AI model integration; apply working knowledge of MLOps, ML/AI models, and AI APIs.
Model-written summary · the original posting is authoritative