Lead Data Engineer
Core
Technical owner of a multi-tenant data platform powering AI-driven insights and real-time analytics for thousands of customers.
Role type
Lead Data Engineer (Staff/Principal level)
Builds
End-to-end data platform including medallion architecture, streaming pipelines, semantic layers, and AI/ML feature engineering.
Domain
Financial services / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud data platforms (Databricks), ELT/ETL tooling (Fivetran, Airbyte), transformation frameworks (dbt), dimensional modeling, Infrastructure-as-Code (Terraform), C programming, enterprise security (RBAC, RLS, PII masking), data governance, CI/CD for data, observability, incident response, cost optimization.
Preferred skills
None stated.
Technologies
Databricks, Fivetran, Airbyte, dbt, Terraform, C, graph databases, streaming technologies.
Responsibilities
Define platform strategy and architecture; lead cross-functional technical leadership with analytics, BI, and AI teams; design significant platform initiatives; own security and governance models; set engineering quality and standards; mentor and unblock engineers; ensure operational excellence and reliability.
Seniority
Senior, hands-on IC with strategic ownership
