Post in 6 days ago
Lead Data Engineer
Summary
Client is hiring a hands-on Lead Data Engineer to own and build data architecture for an AI-driven product platform deployed across customer cloud environments. The role combines architecture, engineering leadership, code review, mentoring, and hands-on work with complex data and AI workloads.
The ideal candidate has 10+ years of production data engineering experience and 3+ years at Lead/Staff/Principal level, with deep expertise in Databricks, Delta Lake, Unity Catalog, Medallion Architecture, PySpark, SQL, dbt, Snowflake, Data Vault 2.0, Azure/AWS, and modern AI data pipeline
- 10+ years of production Data Engineering experience
- 3+ years of Lead/Staff/Principal-level ownership
- Expert Databricks, Delta Lake, Unity Catalog, and Medallion Architecture
- Strong PySpark, Spark SQL, Python, and SQL
- Kimball dimensional modelling and dbt
- Snowflake and Data Vault 2.0
- Azure and AWS cloud experience
- LLM/RAG pipelines, embeddings, and vector search
- Data governance, security, observability, and cost optimization
- Kubernetes, Terraform/Bicep, and CI/CD
- Regulated/compliance-heavy environment experience is a plus
- Strong architecture and technical leadership skills
- Ability to remain hands-on while leading engineering work
Large
Remote Job
Ongoing project
Skills and Expertise
No skills added for this project yet.
Activity on this job
Proposals:5 to 8
Last viewed by client:4 days ago
Interviewing:0
Hired:0
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