- Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition
- Define and communicate data architecture decisions across cloud data platforms such as AWS Redshift, Databricks, and related technologies
- Coordinate discovery and documentation of dependencies, schema inventories, data flows, and critical migration processes
- Own migration and cutover planning, including validations and contingency measures
- Serve as primary liaison between engineering, analytics, product, and business stakeholders
- Translate technical changes into clear business impact assessments
- Define and document assumptions, requirements, and acceptance criteria
- Oversee validation of migrated datasets for accuracy, consistency, and integrity
- Identify, assess, and mitigate migration-related risks and elevate blockers and dependencies
- Drive problem-solving and decision-making in fast-paced, ambiguous environments
- Create and maintain migration runbooks, testing strategies, rollback plans, and operational procedures
- Provide project status updates to technical and executive stakeholders
- Promote data governance, quality, and operational best practices
- Align engineers, analysts, and product stakeholders around priorities, timelines, and delivery expectations
Requirements
- Experience in Data Engineering, including building and optimizing data pipelines
- Experience working with Databricks, Python, and Spark, building batch and streaming
- Advanced English Level
- Familiarity with a BI visualization tool like Looker or Tableau
Core Competencies
Demonstrates expertise in leading data migration initiatives, ensuring data integrity and alignment with business objectives. Proficient in data engineering practices, including building and optimizing data pipelines across cloud platforms.
Highest-signal resume keywords
- Data Migration Leadership
- Data Engineering
- AWS Redshift
- Databricks
- Python
Hard Skills
- Data Pipeline Optimization
- Batch Processing
- Streaming Processing
- Data Architecture
- Data Validation
- Risk Assessment
- Contingency Planning
- Data Governance
- Business Impact Assessment
- Schema Documentation
Soft Skills
- Problem-Solving
- Communication
- Collaboration
- Stakeholder Management
- Decision-Making
Industry Keywords
- Data Migration
- Data Governance
- Data Quality
- Operational Best Practices
- Business Intelligence
Tools & Technologies
- Databricks
- AWS Redshift
- Looker
- Tableau
- Spark
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Lead Data Engineer – Databricks Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
