Senior Director, Data Engineering
Core
Define and execute enterprise data and platform strategy to support scalable, reliable, governed, and cost-aware solutions, including a path toward streaming, real-time activation, data mesh, and AI/ML enablement.
Role type
Senior Director, Data Engineering (Strategy & Leadership)
Builds
Enterprise data platform, embedded analytics teams, and AI/ML infrastructure (feature stores, vector stores, RAG pipelines)
Domain
Enterprise Data Engineering, Cloud Data Platforms, AI/ML Infrastructure
Required skills
Data Engineering strategy, team leadership (managing managers), modern data stack expertise, cloud infrastructure design, FinOps, AI/ML data governance, software engineering best practices, stakeholder management, Python, SQL
Preferred skills
Experience with federated hub-and-spoke data organizations, agentic development workflows, LLM/agent feature design, M&A integration data strategy
Technologies
Snowflake, dbt, Dagster, Airflow, Databricks, SageMaker, Fivetran, Hightouch, Census, DataHub, Tableau, Kafka, AWS, Python, SQL, Git, CI/CD, MCP servers
Responsibilities
Own multi-year roadmap for core data platform and AI/ML enablement; establish data engineering as a measurable contributor to company performance; champion and operationalize agentic development as standard way of working; build and govern internal AI tooling layer for data work; partner with DSML to provide data foundations for AI/ML products; set engineering guardrails for safe LLM/agent use in production; lead modernization initiatives for real-time operations; own platform FinOps and compute optimization; lead and grow central Data Engineering function; mentor senior engineers and managers; build cross-functional partnerships to drive data innovation; communicate platform strategy to executive and Board-level audiences
Seniority
Senior Director, hands-on IC with extensive management experience
