Product Owner – Databricks Migration & Data Platform

JobDiva, Inc.

Atlanta (GA)

Hybrid

USD 110,000 - 140,000

Full time

5 days ago
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Job summary

NTT DATA is seeking a Product Owner to lead Databricks migration and data-platform modernization in Atlanta. You will own the backlog, align business goals with architecture, and drive value across governance, security, and analytics teams.

You will collaborate with Databricks architects and data engineers, manage stakeholders across regions, and deliver measurable outcomes through a structured product delivery approach in a hybrid setting.

Qualifications

  • Minimum 8+ years in Product Ownership, Product Management, or related delivery roles.
  • Strong understanding of enterprise data platforms and modern data architectures.
  • Experience with Databricks governance concepts and data lineage.

Responsibilities

  • Own the product vision, roadmap, backlog, and delivery priorities for Databricks migration and modernization.
  • Translate target-state architecture into epics, features, and user stories with clear acceptance criteria.
  • Lead discovery workshops with stakeholders to capture requirements, pain points, and migration needs.
  • Define and manage a prioritized migration backlog covering data ingestion, governance, security, and reporting dependencies.
  • Coordinate migration waves and release plans across multiple applications and data domains.

Skills

Product Ownership
Stakeholder management
Agile / Scrum
Databricks
Data platform

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Jira
Azure DevOps
Confluence

Job description

NTT DATA is seeking a Product Owner to lead Databricks migration and data-platform modernization in Atlanta. You will own the backlog, align business goals with architecture, and drive value across governance, security, and analytics teams.

You will collaborate with Databricks architects and data engineers, manage stakeholders across regions, and deliver measurable outcomes through a structured product delivery approach in a hybrid setting.

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