Head of Engineering - Inbound Data
Core
Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and platform developers to drive data transformation and replace legacy technical debt.
Role type
Head of Engineering (Inbound Data)
Builds
Enterprise-scale lakehouse architecture and production-grade autonomous AI systems using Databricks and AWS.
Domain
Financial data & AI infrastructure
Deliverable
production ML models | infrastructure
Required skills
Strategic technical direction, organizational scaling (20+ to 100+), Databricks Data Intelligence Platform, AWS cloud architecture, Apache Iceberg, autonomous AI agent deployment, RAG pipeline architecture, engineering standards, SLOs, incident management, infrastructure-as-code
Preferred skills
AWS/Databricks certifications, semantic modeling, knowledge graphs, enterprise data governance, LLMOps, model evaluation, prompt orchestration, AWS AI/ML services integration, CI/CD pipelines
Technologies
Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI, MLflow, Feature Store, Vector Search, Model Serving), AWS (S3, Glue, EMR, Lake Formation, SageMaker, Bedrock), Terraform, Databricks Asset Bundles
Responsibilities
Lead hiring, retention, and talent development strategies; Drive transition to production-grade autonomous AI systems; Establish rigorous engineering standards and operational excellence practices; Oversee enterprise semantic modeling and RAG architecture strategies; Partner with Product, FinOps, and executive leadership to translate business goals into technical roadmaps
Seniority
Executive (Head of Engineering)