Data Product Engineering Lead

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

Job summary

Versant is seeking a hands-on Data Product Engineering Lead to guide engineering resources to deliver trusted, scalable data products from source systems through the Silver layer of the enterprise data platform in New York.

You will translate roadmaps into plans, build reusable data-engineering frameworks, enforce data governance, and coach a distributed team across time zones to ensure reliable, timely delivery of data for analytics, AI, and reporting.

Qualifications

• 8+ years of data engineering or data-platform experience.
• 2+ years leading engineers, technical workstreams, or large-scale delivery.
• Designing and delivering enterprise-scale ingestion and transformation pipelines.
• Strong SQL, Python, Spark/PySpark and ELT/ETL patterns.
• Experience with Databricks, Delta Lake, or comparable lakehouse platforms; cloud storage, orchestration, and CI/CD.
• Strong ability to partner with architects, data modelers, product leaders, and domain stakeholders.

Responsibilities

• Lead delivery of source-to-Silver data products.
• Lead and develop a distributed/offshore team of Data Engineers.
• Translate roadmaps and requirements into actionable engineering plans, milestones, estimates, dependencies, and delivery commitments.
• Design and oversee ingestion, transformation, standardization, orchestration, and publication of data from multiple sources.
• Ensure Silver-layer data products are validated, standardized, documented, reusable, performant, secure, and ready for Gold-layer analytics and AI consumption.
• Establish repeatable patterns for batch, incremental, change-data-capture, and event-driven processing.
• Build scalable engineering foundations with reusable frameworks, templates, libraries, and pipeline patterns.
• Partner across architecture, modeling, and product to implement standards and data contracts.
• Ensure trusted, governed data with profiling, quality testing, lineage, metadata, and access controls.
• Lead the team and delivery operating model with clear priorities, direction, and quality standards.

Skills

SQL

Python

Spark/PySpark

ELT/ETL patterns

Data quality

Leadership

Tools

Databricks

Delta Lake

CI/CD

Job description

Versant is seeking a hands-on Data Product Engineering Lead to guide engineering resources to deliver trusted, scalable data products from source systems through the Silver layer of the enterprise data platform in New York.

You will translate roadmaps into plans, build reusable data-engineering frameworks, enforce data governance, and coach a distributed team across time zones to ensure reliable, timely delivery of data for analytics, AI, and reporting.