Product Owner – Databricks Migration & Data Platform - Atlanta, GA (Hybrid)

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Sid K

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Oct 8, 2026, 3:45:18 PM (2 days ago) Oct 8
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Hi Folks,


My client is looking for Product Owner – Databricks Migration & Data Platform for 2 Month Contract role based in Atlanta, GA (Hybrid)

Position: Product Owner – Databricks Migration & Data Platform

Location:  Atlanta, GA (Hybrid)

Duration: 2 Month Contract


Basic Qualifications

Minimum 8+ years of overall experience in Product Ownership, Product Management, Business Analysis, Data/Analytics delivery, or enterprise technology transformation.

Minimum 4+ years of experience as a Product Owner / Senior Business Analyst / Product Manager supporting complex enterprise technology or data-platform initiatives.

Demonstrated experience supporting large-scale data migration, cloud modernization, data-platform transformation, or analytics modernization programs.

Strong understanding of enterprise data platforms and modern data architectures.

Working knowledge of Databricks, Lakehouse architecture, Delta Lake, Spark-based processing, and Medallion Architecture (Bronze, Silver, Gold).

Understanding of Databricks governance concepts, particularly Unity Catalog, data lineage, cataloging, metadata, access governance, data ownership, and data classification.

Strong understanding of the data lifecycle including:

Data ingestion

Transformation

Storage

Data quality

Reconciliation

Data consumption

Analytics

Reporting

Experience managing requirements and migration backlogs using Jira, Azure DevOps, Rally, or equivalent Agile delivery tools.

Strong experience writing epics, features, user stories, acceptance criteria, business requirements, and functional requirements.

Demonstrated ability to prioritize complex backlogs involving multiple business units, technology teams, and interdependent systems.

Experience with Agile / Scrum / SAFe delivery models, including backlog refinement, sprint planning, PI/release planning, demos, and retrospectives.

Strong understanding of data migration concepts including:

Source-to-target mapping

Data profiling

Data reconciliation

Historical-data migration

Migration waves

Parallel runs

Cutover planning

Production validation

Legacy decommissioning

Working knowledge of data governance, data quality, metadata, lineage, privacy, security, regulatory controls, and stewardship.

Strong stakeholder-management skills with the ability to communicate effectively with business leaders, engineering teams, architects, governance, security, risk, compliance, and executive stakeholders.

Ability to translate complex technical concepts into clear business outcomes and translate business needs into actionable technical requirements.

Strong analytical, problem-solving, prioritization, facilitation, and decision-making skills.

Ability to work onshore in Atlanta with a minimum of 3 days per week in the office.


Thanks
Sid
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