Source description
About the role
Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.
Define and communicate data architecture decisions, evaluating impacts, risks, and performance considerations across cloud data platforms such as AWS Redshift, Databricks, and related technologies.
Coordinate the discovery and documentation of dependencies, schema inventories, data flows, and critical processes involved in migration efforts.
Own migration and cutover planning, ensuring all activities, validations, and contingency measures are properly defined and executed.
Serve as the primary liaison between engineering, analytics, product, and business stakeholders, facilitating clear communication and alignment throughout the project lifecycle.
Translate technical changes in data pipelines, data warehouses, and platform architecture into clear business impact assessments.
Define and document assumptions, requirements, and acceptance criteria to ensure successful migration outcomes.
Oversee data validation processes to guarantee the accuracy, consistency, and integrity of migrated datasets against source-of-truth systems.
Proactively identify, assess, and mitigate migration-related risks, escalating blockers and dependencies when necessary to maintain project timelines and quality standards.
Drive problem-solving and decision-making in fast-paced, ambiguous environments, helping cross-functional teams stay focused on priorities and deliverables.
Create, maintain, and improve project documentation, including migration runbooks, testing strategies, rollback plans, and operational procedures.
Provide regular project status updates to technical and executive stakeholders, ensuring transparency around progress, risks, and next steps.
Promote data governance, quality, and operational best practices throughout the migration lifecycle.
Align engineers, analysts, and product stakeholders around priorities, timelines, and delivery expectations to ensure successful project execution.
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