Lead Data Engineer, Consumer

Role Overview

Lead engineering resources to deliver trusted, scalable, and reusable data products from source systems through the Silver layer of our enterprise data platform.

What You Will Do

Lead delivery of source-to-Silver data products, design and oversee ingestion, transformation, standardization, orchestration, and publication of data from operational, SaaS, file, streaming, API, and partner sources.

Why It Might Be a Fit

The Data Product Engineering Lead works closely with Solution Architects, Data Modelers, Product Managers, domain experts, platform teams, and governance partners to ensure each data and digital product is built on a scalable data foundation.

Requirements

• 8+ years of data engineering, software engineering, or data-platform experience
• 2+ years leading engineers, technical workstreams, or large-scale delivery
• Strong hands-on expertise in SQL, Python, Spark/PySpark, and modern ELT/ETL patterns
• Experience with Databricks, Delta Lake, or a comparable lakehouse platform
• Strong understanding of Bronze/Silver/Gold or equivalent layered data-platform patterns
• Experience implementing data quality, observability, lineage, metadata, and production support practices

Benefits

• Health insurance
• Retirement plans
• Paid time off

Tagged as: Python, SQL