Head of Engineering - Inbound Data
Core
Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and platform developers while driving the transition to production-grade autonomous AI systems and enterprise-scale lakehouse architecture.
Role type
Head of Engineering (Data & AI)
Builds
Enterprise-scale lakehouse architecture, production-grade autonomous AI systems, and data transformation platforms.
Domain
Financial services / Data Engineering / Artificial Intelligence
Deliverable
production ML models | infrastructure
Required skills
Strategic technical direction, organizational scaling (20+ to 100+), Databricks Data Intelligence Platform, AWS cloud architecture, Apache Iceberg, RAG architecture, autonomous AI agent deployment, engineering standards, talent development
Preferred skills
AWS/Databricks certifications, semantic modeling, knowledge graphs, LLMOps, model evaluation, prompt orchestration, infrastructure-as-code
Technologies
Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI, MLflow, Feature Store, Vector Search), AWS (S3, Glue, EMR, Lake Formation, SageMaker, Bedrock), Terraform, Databricks Asset Bundles
Responsibilities
Lead and scale a 100+ person engineering team, provide strategic technical direction for lakehouse architecture, drive transition to autonomous AI systems, establish engineering standards and operational excellence, oversee enterprise semantic modeling and RAG strategies, foster high-performance engineering culture
Seniority
Executive (Head of Engineering)