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 on Databricks and AWS, production-grade autonomous AI systems, and RAG pipelines.
Domain
Financial services / Data Engineering / Artificial Intelligence
Deliverable
production ML models
Required skills
Strategic technical leadership, team scaling (20+ to 100+), Databricks Data Intelligence Platform, AWS cloud architecture, Apache Iceberg, autonomous AI agent deployment, RAG architecture, engineering standards, operational excellence.
Preferred skills
AWS/Databricks certifications, semantic modeling, knowledge graphs, LLMOps, model evaluation, prompt orchestration, infrastructure-as-code.
Technologies
Databricks (Unity Catalog, Delta Lake, MLflow, Mosaic AI), AWS (S3, Glue, EMR, Lake Formation, SageMaker, Bedrock), Terraform, Apache Iceberg.
Responsibilities
Lead and scale engineering organization, provide strategic technical direction for lakehouse architecture, drive transition to autonomous AI systems, establish engineering standards and operational excellence, oversee semantic modeling and RAG strategies, foster high-performance engineering culture.
Seniority
Executive (Head of Engineering), hands-on strategic leadership
