Data Product Engineering Lead

Versant; New York (NY); On-site; USD 170,000 - 190,000; Full time

Job summary

Versant seeks a hands-on Data Product Engineering Lead to steer a distributed team in delivering source-to-Silver data products for enterprise data platforms. You will translate roadmaps into actionable engineering plans, ensure data quality and governance, and collaborate with architects, product managers, and domain experts to build scalable data foundations.

You will implement reusable data-engineering frameworks, enforce CI/CD, and drive improvements across time zones while maintaining

Qualifications

• 8+ years of data engineering, software engineering, or data-platform experience.
• 2+ years leading engineers, technical workstreams, or large-scale delivery.
• Strong SQL, Python, Spark/PySpark hands-on experience.
• Experience with Databricks, Delta Lake or lakehouse platforms; cloud storage, orchestration, CI/CD.

Responsibilities

• Lead delivery of source-to-Silver data products.
• Build scalable data-engineering frameworks and patterns.
• Define standards for naming, partitioning, schema evolution, error handling and performance.

Skills

SQL

Python

Spark/PySpark

Data Pipelines

Leadership

Communication

Data Quality

Databricks

Tools

Databricks

Delta Lake

CI/CD tooling

Orchestration tools

Unity Catalog

Job description

Versant seeks a hands-on Data Product Engineering Lead to steer a distributed team in delivering source-to-Silver data products for enterprise data platforms. You will translate roadmaps into actionable engineering plans, ensure data quality and governance, and collaborate with architects, product managers, and domain experts to build scalable data foundations.

You will implement reusable data-engineering frameworks, enforce CI/CD, and drive improvements across time zones while maintaining