
ETL Modernization Architect
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Develop the architecture and migration strategy for updating legacy ETL and ELT pipelines
• Evaluate IBM DataStage jobs, databases, and data warehouses for readiness to migrate
• Create scalable data solutions utilizing Databricks Spark on AWS
• Set architecture standards, reusable frameworks, and governance protocols
• Design CI/CD pipelines to facilitate automated builds, testing, and deployment
• Lead technical design evaluations, migration planning, and artifact validation processes
• Establish strategies for parity, functional, UAT, regression, and performance testing
• Ensure schema validation, data integrity, lineage, security, and readiness for production
• Direct cutover, go-live, hypercare, and operational stabilization initiatives
• Manage the phasing out of legacy DataStage jobs and associated components
• Generate operational documentation and conduct sessions for knowledge transfer
• Offer technical guidance to developers and engineering teams
• Work authorization: Only Green Card holders and US Citizens
• Extensive experience in designing enterprise-level ETL/ELT architectures
• Practical experience with IBM DataStage and Databricks modernization initiatives
• Strong expertise in Databricks, Delta Lake, Unity Catalog, Photon, and Spark
• In-depth knowledge of AWS data services, such as Glue, Redshift, and Lambda
• Experience in designing large-scale database and data warehouse migration programs
• Proficient in Python and Unix/Linux scripting
• Familiarity with Terraform and automated deployment pipelines
• Understanding of data governance, observability, lineage, and operational readiness
• Experience in defining testing and production-readiness criteria
• Experience in Agile/Scrum environments and PI planning
• Knowledge of GitLab or Azure DevOps
• Familiarity with JIRA
• Experience with automated data-testing frameworks
• Experience leading enterprise cutover and hypercare operations
• Experience mentoring data engineering teams
• W2 employment
• Remote work arrangement
• 12-month contract duration
S + S Regeltechnik GmbH
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