Director, Product Data Engineering

Job Summary:

• Build and lead the team responsible for every reusable data product artifact.
• You'll create a dedicated product engineering function that builds tested, documented, reusable artifacts.
• You own the backlog, you set the technical standards, and you drive the architecture decisions that determine how our data products scale.

Key Responsibilities:

• Build and lead a team of 4-5 data engineers focused on reusable product artifacts.
• Drive the development of reusable data provisioning modules (IaC) and pipeline tooling.
• Oversee initial agentic LLM call development within data pipelines — including prompt engineering, model serving patterns, and evaluation frameworks.

Required Qualifications:

• 8+ years in data engineering, with 3+ years in a technical leadership role
• Deep Databricks/Spark expertise at the architecture level — performance tuning, cluster management, Delta Lake design patterns
• Experience building reusable data frameworks, tooling, or platforms