We’re looking for a hands-on Lead Data Engineer to own and build the data architecture for an AI-driven product platform deployed across customer cloud environments.
This is an architect-who-still-ships role — you’ll design scalable data platforms, set engineering standards, review code, mentor engineers, and work hands-on with complex data and AI workloads.
What We’re Looking For
• 10+ years of experience in production data engineering
• 3+ years in Lead/Staff/Principal-level ownership
• Expert in Databricks, Delta Lake, Unity Catalog & Medallion Architecture
• Strong PySpark, Spark SQL, Python & SQL
• Expertise in Kimball dimensional modelling & dbt
• Working experience with Snowflake & Data Vault 2.0
• Experience across Azure & AWS
• Hands-on experience with LLM/RAG pipelines, embeddings & vector search
• Strong understanding of data governance, security, observability & cost optimization
• Experience with Kubernetes, Terraform/Bicep & CI/CD
Experience in regulated/compliance-heavy environments is a plus