Senior Db2 for z/OS Data Architect

We are looking for a highly experienced Senior Db2 for z/OS Data Architect with strong mainframe data warehouse expertise and preferably hands-on experience in data migration initiatives.
The candidate will own the Db2 workstream for a migration from IBM Db2 for z/OS to Snowflake, covering the complete lifecycle from legacy estate assessment and reverse engineering through migration design, implementation, data validation, reconciliation, and cutover support.
The ideal candidate must be capable of independently analyzing complex and undocumented mainframe data environments, identifying dependencies across databases, batch programs, ETL workflows, and downstream consumers, and translating findings into a practical migration strategy.
Key Responsibilities1. Mainframe Data Assessment and Discovery
Assess and inventory Db2 for z/OS database objects, workloads, data flows, and downstream data consumers.
Analyze existing Db2 environments to understand database structures, data relationships, processing patterns, and workload dependencies.
Reverse-engineer undocumented legacy mainframe environments independently using Db2 catalog information, packages, SQL, COBOL batch programs, JCL, scheduler flows, and Informatica jobs.
Identify data dependencies, business-critical datasets, processing schedules, and integration points relevant to migration.
Distinguish data warehouse usage from operational source-system usage to determine migration scope and priorities.
Db2 to Snowflake Migration
Own the Db2 workstream for the migration to Snowflake, from assessment and planning through implementation and cutover.
Define migration approaches for data extraction, data movement, pipeline migration, and target data structures.
Assess existing Db2 data models, SQL logic, batch processing, and ETL workflows to identify migration requirements.
Collaborate with solution architects and data architects to define migration patterns, sequencing, and technical dependencies.
Identify migration risks, technical constraints, and opportunities to simplify legacy data flows.
Data Validation and Reconciliation
Design and execute data validation and reconciliation strategies to ensure migrated data meets source-to-target requirements.
Validate data completeness, consistency, accuracy, and integrity between Db2 and Snowflake.
Investigate and resolve data discrepancies, transformation issues, and migration defects.
Support reconciliation of migrated datasets and downstream data-processing workflows.
Document validation results, identified issues, and resolution approaches.
Legacy ETL and Mainframe Analysis
Analyze Informatica jobs and existing data-loading workflows to understand extraction, transformation, and loading dependencies.
Review COBOL batch programs, JCL, scheduler flows, SQL statements, and Db2 packages to identify data-processing logic.
Map upstream and downstream dependencies across mainframe applications, data warehouses, and ETL pipelines.
Work with mainframe, database, ETL, and data engineering teams to address migration dependencies and technical challenges.
Cutover and Post-Migration Support
Support migration cutover planning and execution for the Db2 workstream.
Assist with production readiness, migration issue resolution, and post-migration validation.
Support reconciliation activities and investigate issues identified during migration and stabilization.
Coordinate with delivery teams to ensure a controlled transition from legacy Db2 environments to Snowflake.
Architecture and Stakeholder Collaboration
Collaborate closely with solution architects, data architects, database specialists, ETL teams, and mainframe delivery teams.
Translate findings from legacy estate assessments into migration recommendations and implementation plans.
Communicate technical dependencies, risks, findings, and migration progress to relevant stakeholders.
Contribute to migration strategy, workstream planning, sequencing, and technical decision-making.
Required Skills And Experience
15+ years of experience working with IBM Db2 for z/OS as a DBA, Data Architect, or in a closely related senior mainframe data role.
Strong experience with mainframe data warehouses and complex Db2 environments.
Proven ability to independently analyze and reverse-engineer undocumented legacy mainframe data estates.
Hands-on understanding of Db2 catalog structures, packages, SQL, and database objects.
Strong knowledge of COBOL batch programs, JCL, and scheduler flows.
Experience analyzing Informatica jobs and data-loading workflows.
Strong understanding of data migration methodologies, data validation, reconciliation, and cutover activities.
Ability to identify data dependencies across databases, batch processes, ETL pipelines, and downstream consumers.
Strong analytical, troubleshooting, problem-solving, and documentation skills.
Excellent communication and collaboration skills, with the ability to work directly with architecture and delivery teams.
Preferred Skills And Experience
Previous experience leading or contributing to IBM Db2 for z/OS to Snowflake migration programs.
Hands-on involvement in legacy data warehouse migration initiatives.
Experience assessing legacy data estates and defining migration strategy, scope, and sequencing.
Familiarity with Snowflake target architecture and migration considerations.
Experience working across data architecture, database administration, ETL/pipeline engineering, and mainframe teams.
Experience supporting complex enterprise data migration programs from assessment through cutover and stabilization.
Skills: ibm db2,snowflake,z/os,mainframe

Work arrangement
Yes