Lead Data Engineer, Ad Sales & Finance

Role Overview

We are seeking a hands-on Data Product Engineering Lead to lead engineering resources to deliver trusted, scalable, and reusable data products from source systems through the Silver layer of our enterprise data platform. This role is accountable for turning product and business needs into reliable, governed data capabilities.

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, including 2+ years leading engineers, technical workstreams, or large-scale delivery.
• Demonstrated experience designing and delivering enterprise-scale ingestion and transformation pipelines.
• Strong hands-on expertise in SQL, Python, Spark/PySpark, and modern ELT/ETL patterns.
• Experience with Databricks, Delta Lake, or a comparable lakehouse platform; experience with cloud storage, orchestration, and CI/CD.
• Strong understanding of Bronze/Silver/Gold or equivalent layered data-platform patterns.
• Experience implementing data quality, observability, lineage, metadata, and production support practices.
• Proven ability to partner with architects, data modelers, product leaders, and domain stakeholders.
• Experience leading distributed teams and creating effective delivery practices across time zones.
• Strong communication skills and the ability to explain technical choices, risks, and tradeoffs to non-technical stakeholders.

Benefits

• Good faith pay range
• Health insurance
• Retirement plans
• Paid time off

Tagged as: Python, SQL