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Data Manager - Teradata to Databricks and snowflake migration.

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Onsite

Data Manager - Teradata to Databricks and snowflake migration.

E-Solutions

Data Manager - Teradata to Databricks and snowflake migration.

Skills

SQL QueriesData EngineeringDatabricksData AnalysisJiraConfluenceComplianceAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

16 August 2026

What they need


Data Manager - Teradata to Databricks and snowflake migration.

Minneapolis, MN OR Dallas, TX (Onsite)

Fulltime

  • Lead end-to-end program management of the cloud data platform modernization initiative, with a primary focus on Teradata to Databricks and snowflake migration.

  • Work with architects, data engineers, and cloud teams to plan and oversee migration strategy, roadmap, and delivery milestones.

  • Define and drive program governance, including establishing clear metrics, KPIs, and reporting mechanisms.

  • Coordinate with stakeholders across business, infrastructure, and data teams to ensure alignment on timelines, priorities, and dependencies.

  • Ensure robust risk and issue management with proactive mitigation strategies.

  • Manage multiple workstreams including data ingestion, ETL/ELT modernization, data quality, security, and compliance.

  • Partner with vendor teams and system integrators to manage third-party deliverables and performance.

  • Drive Agile and/or hybrid delivery methodologies across program teams.

  • Ensure adherence to cloud best practices, data security standards, and enterprise architectural guidelines.

  • Report program health, status, and risks to executive leadership in a structured and actionable format.

Required Qualifications:

  • 15- 25 year of program and project management experience in large-scale data transformation or modernization initiatives.

  • Proven experience managing Teradata migrations to modern platforms like Databricks.

  • Hands-on experience or strong technical understanding of cloud platforms (Azure) and cloud-native data ecosystems.

  • Deep knowledge of data engineering and analytics pipelines, including ETL/ELT, Spark, SQL, and modern data lakehouse architectures.

  • Strong background in stakeholder management, budget oversight, and vendor governance.

  • Excellent understanding of Agile, Scrum, and/or SAFe delivery methodologies.

  • Strong analytical, communication, and leadership skills.

  • Experience in regulated environments (finance, healthcare, etc.) is a plus.

  • Familiarity with tools like Jira, Confluence, Azure DevOps, or similar.

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