Director, Data Engineering & Analytics
Core
Lead and grow the data organization to own the strategy, architecture, and execution of a modern, scalable data platform serving as the foundation for AI-driven analytics and business intelligence.
Role type
Director, Data Platform Engineering (IC + Management)
Builds
End-to-end data platform (ingestion, storage, transformation, serving) and AI/ML infrastructure
Domain
Data Engineering, Analytics Engineering, Business Intelligence, AI/ML Infrastructure
Required skills
Data engineering, Analytics engineering, Data infrastructure, Team leadership, Strategic roadmap definition, Data governance, Cloud data platforms, Modern data stack (ELT, orchestration, modeling), Talent acquisition
Preferred skills
LLM integration and generative AI infrastructure, Data mesh or data product frameworks, Analytics/Business Intelligence/Data Science background
Technologies
dbt, Spark, Airflow, Snowflake, BigQuery, Databricks, Kafka
Responsibilities
Lead, mentor, and grow high-performing Data Engineering, Analytics Engineering, and BI Development teams; Define team charters, OKRs, and strategic roadmaps; Own the end-to-end vision, architecture, and execution of the data platform; Ensure platform governance, documentation, and trust via data quality, lineage, and observability standards; Champion AI/ML infrastructure by partnering with Data Science and AI Engineering teams; Oversee analytics engineering and BI development to deliver reliable semantic models and self-serve dashboards; Act as a strategic partner to executive leadership translating business needs into data platform investments
Seniority
Director, hands-on IC with management responsibilities
