Data Product Owner

VDart Digital

Employer Active

Posted on 31 Mar

Experience

8 - 10 Years

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Job Purpose:

This role sits at the intersection of business outcomes, data engineering, and cloud platforms. You will own the roadmap for enterprise data products built on Azure Data Engineering stack, working closely with stakeholders, architects, and engineering teams to turn data into measurable value.

Required Skills & Experience

Must-Have

  • Proven experience as a Product Owner / Data Product Owner in enterprise environments
  • Strong hands-on exposure to Azure Data Engineering ecosystem
  • Solid understanding of Azure Databricks and Azure Data Factory
  • Ability to speak both business language and engineering language fluently
  • Experience working in Agile / Scrum delivery models
  • Strong understanding of data concepts: ETL/ELT, data lakes, batch & streaming pipelines

Good to Have

  • Exposure to BI tools, analytics, or machine learning workflows
  • Experience with data governance, metadata management, and data quality frameworks
  • Azure certifications (Data Engineer, Azure Fundamentals, etc.)
  • Background in large-scale enterprise or multi-region data platforms

Desired Candidate Profile

Required Skills & Experience

Must-Have

  • Proven experience as a Product Owner / Data Product Owner in enterprise environments
  • Strong hands-on exposure to Azure Data Engineering ecosystem
  • Solid understanding of Azure Databricks and Azure Data Factory
  • Ability to speak both business language and engineering language fluently
  • Experience working in Agile / Scrum delivery models
  • Strong understanding of data concepts: ETL/ELT, data lakes, batch & streaming pipelines

Good to Have

  • Exposure to BI tools, analytics, or machine learning workflows
  • Experience with data governance, metadata management, and data quality frameworks
  • Azure certifications (Data Engineer, Azure Fundamentals, etc.)
  • Background in large-scale enterprise or multi-region data platforms

Company Industry

Department / Functional Area

Keywords

  • Data Product Owner

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