Data Product Engineering Lead

Versant Media

New York (NY)

On-site

USD 160,000 - 240,000

Full time

4 days ago
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Job summary

VERSANT Media in New York, NY seeks a hands-on Data Product Engineering Lead to steer engineering resources, deliver trusted data products from source systems through the Silver layer of our enterprise data platform.

You will partner with solution architects, data modelers, product managers and governance to ensure scalable, governed data foundations, robust testing, CI/CD, and measurable delivery for analytics, reporting, AI, and operations.

Qualifications

  • 8+ years in data engineering or data-platform delivery.
  • Experience delivering enterprise-scale ingestion and transformation pipelines.
  • Strong SQL, Python, Spark/PySpark skills and data-quality practices.

Responsibilities

  • Lead and develop a distributed/offshore team of Data Engineers for source ingestion through Silver-layer data products.
  • Translate roadmaps into actionable engineering plans, milestones, estimates, dependencies, and delivery commitments.
  • Design ingestion, transformation, standardization, orchestration, and publication from multiple data sources.
  • Ensure Silver-layer data products are validated, documented, reusable, secure, and ready for Gold-layer analytics and AI usage.
  • Establish batch, incremental, CDC, and event-driven processing patterns.
  • Partner with Architects, Data Modelers, Product Managers, and governance to align data products with standards.

Skills

SQL
Python
Spark/PySpark
ELT/ETL patterns
Databricks
Delta Lake
Lakehouse
CI/CD
Data quality
Observability
Data lineage

Tools

Databricks
Delta Lake
CI/CD

Job description

VERSANT Media in New York, NY seeks a hands-on Data Product Engineering Lead to steer engineering resources, deliver trusted data products from source systems through the Silver layer of our enterprise data platform.

You will partner with solution architects, data modelers, product managers and governance to ensure scalable, governed data foundations, robust testing, CI/CD, and measurable delivery for analytics, reporting, AI, and operations.

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