Data Product Engineering Lead for Analytics & AI

Versant3; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Versant3 seeks a hands-on Data Product Engineering Lead to drive source-to-Silver data products across our enterprise data platform. You will coordinate engineers, translate roadmaps into plans, and ensure standardized, high-quality data products for analytics, AI, and operations.

You will champion scalable pipelines, CI/CD, and governance while partnering with architects, modelers, and product leaders to deliver trusted data at pace.

Qualifications

• 8+ years in data engineering or data platform roles.
• 2+ years leading engineers or large delivery programs.
• Experience designing enterprise-scale ingestion and transformation pipelines.

Responsibilities

• Lead delivery of source-to-Silver data products.
• Oversee a distributed/offshore Data Engineering team.
• Translate roadmaps into actionable engineering plans and milestones.
• Design ingestion, transformation, standardization, and publication pipelines.
• Ensure Silver-layer data produced is validated, documented, and reusable.
• Establish patterns for batch, incremental, and event-driven processing.
• Implement reusable data engineering frameworks and templates.
• Apply modern practices: source control, testing, CI/CD, observability, release management.
• Set standards for naming, partitioning, schema evolution, and performance.
• Collaborate with Data Platform, Data Modelers, and product teams.
• Identify technical debt and lead improvements to speed and reliability.

Skills

Data engineering

Leadership

Cloud development

CI/CD

Observability

Tools

Git

Job description

Versant3 seeks a hands-on Data Product Engineering Lead to drive source-to-Silver data products across our enterprise data platform. You will coordinate engineers, translate roadmaps into plans, and ensure standardized, high-quality data products for analytics, AI, and operations.

You will champion scalable pipelines, CI/CD, and governance while partnering with architects, modelers, and product leaders to deliver trusted data at pace.