Senior Datastage Solution Architect

• IBM Tech Stack Mastery: 12–14+ years of deep expertise across the complete IBM Data Integration suite, including IBM Data Stage (v11.x / Cloud Pak for Data), Quality Stage, Information Analyzer, Information Governance Catalog (IGC), and IBM Db2.
• Architecture Proven Track Record:
  Proven experience acting as a Lead or Principal Architect on at least 2–3 large-scale, full-lifecycle enterprise data warehouse or data lake implementations.
• Advanced Data Stage Engineering:
  Expert-level knowledge of Parallel Job mechanics (combining, sorting, partitioning, collection methods) and custom routine development (Parallel routines/Build Ops).
• Data Ecosystem & Platforms:
  Strong expertise interfacing Data Stage with diverse environments such as Oracle, Teradata, SQL Server, Hadoop/Hive, and modern Cloud Data Warehouses (e.g., Snowflake, AWS Redshift, Azure Synapse).
• Scripting & OS:
  High proficiency in Unix/Linux shell scripting, grid scheduling tools (Control-M, Tivoli, or Autosys), and SQL/PL-SQL optimization.

Our client is an Equal Opportunity Employer, committed to a workplace free from discrimination and harassment. Employment decisions are based on business needs, job requirements, and individual qualifications without regard to race, color, religion, gender, age, disability, sexual orientation, gender identity, marital status, military service, genetic information, or any other status protected by law.