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.
Role type
Head of Engineering (Data & AI)
Builds
Enterprise-scale lakehouse architecture and production-grade autonomous AI systems using Databricks and AWS.
Domain
Financial services / Data Engineering / Artificial Intelligence
Deliverable
production ML models
Required skills
Strategic technical direction, organizational scaling (20+ to 100+), Databricks Data Intelligence Platform, AWS cloud architecture, Apache Iceberg, RAG architecture, autonomous AI agents, engineering standards, SLOs, incident management, infrastructure-as-code.
Preferred skills
AWS/Databricks certifications, semantic modeling, knowledge graphs, LLMOps, model evaluation, prompt orchestration, AWS AI/ML services integration, CI/CD pipelines.
Technologies
Databricks (Unity Catalog, Delta Lake, Delta Live Tables, MLflow, Mosaic AI), AWS (S3, Glue, EMR, Lake Formation, SageMaker, Bedrock), Terraform, Databricks Asset Bundles, Apache Iceberg.
Responsibilities
Lead and scale a 100+ person engineering team; Provide strategic technical direction for enterprise-scale lakehouse architecture; Drive transition to production-grade autonomous AI systems; Establish rigorous engineering standards and operational excellence; Oversee enterprise semantic modeling and RAG architecture strategies.
Seniority
Executive (Head of Engineering), 15+ years experience, 5+ years managing large teams.
