Product Owner

Company: ENFOWEB INC

Location: United States (Remote)

Salary: $100,000 - $140,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-13

About this role

Product Owner – Data Engineering (Databricks / Snowflake)

Location: Remote (Must reside and work within the United States)
Employment Type: Contract / Contract-to-Hire

Industry: Life Insurance
Experience Required: 10+ Years
Data Engineering background is MUST

Job Summary

We are seeking an experienced Product Owner with a strong background in Data Engineering to drive the successful delivery of enterprise data products and platform initiatives. The ideal candidate will work closely with Product Managers, Data Engineers, Architects, and Business stakeholders to translate business needs into actionable user stories, prioritize product backlogs, and ensure high-quality product delivery.

This role requires a strong understanding of modern data platforms, cloud technologies, and Agile delivery practices. Experience with Databricks and Snowflake is highly preferred.

Candidates with experience in Financial Services or Banking are strongly preferred.

Required Qualifications

  • 10+ years of overall IT industry experience.
  • 5+ years of experience as a Product Owner supporting enterprise technology or data platform initiatives.
  • Strong experience working with Data Engineering teams and modern data platforms.
  • Solid understanding of:
  • ETL/ELT Pipelines
  • Data Warehousing
  • Data Lakes
  • Lakehouse Architecture
  • Data Modeling
  • Data Governance
  • Data Quality concepts
  • Experience working with Agile/Scrum methodologies in a Product Owner capacity.
  • Strong experience creating and managing Product Backlogs.
  • Experience writing detailed User Stories and Acceptance Criteria.
  • Ability to prioritize work based on business value, dependencies, and technical complexity.
  • Excellent communication and stakeholder management skills.
  • Experience collaborating with Product Managers, Data Engineers, Architects, QA, and Business teams.
  • Functional understanding of SQL and data analysis concepts.
  • Experience working with cl...

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