Data Engineer Lead - Databricks - Eng
Muttdata, Argentina
What you will do
- 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.