Opportunity Description
Roles and Responsibilities:
- Define the enterprise data engineering architecture and technology standards across DB2, SQL Server, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, and AWS
- Lead the multi-year platform modernization roadmap — phased migration from legacy on-premises patterns to cloud-native AWS data engineering patterns
- Govern platform health including capacity planning, performance benchmarks, upgrade management, and disaster recovery compliance with BCP/DR standards
- Lead workload rationalization — identifying pipelines, stored procedures, and jobs for consolidation, retirement, or re-architecture
- Evaluate and drive adoption of modern data engineering capabilities (Apache Airflow, dbt, AWS Glue, Spark) aligned to Project Catalyst objectives
- Own SLA adherence across all data engineering queues — incidents, service requests, small-ticket enhancements, and larger backlog-driven work
- Lead root cause...
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