Job 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 analysis (RCA) for critical data incidents and ...
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 analysis (RCA) for critical data incidents and ...