Data Warehouse Architect

Title: Data Warehouse Architect
Location: Lansing, MI
Duration: 12+ Months

Hybrid

Need only locals.

Responsibilities and Technical Skills
Develop, enhance, and optimize ETL pipelines using IBM DataStage, including parallel and server jobs, job sequencing, and performance tuning.
Support the migration of on‑premise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization.
Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows.
Work extensively in Linux/Unix environments to write shell scripts, manage file systems, monitor processes, and troubleshoot runtime issues.
Apply Master Data Management (MDM) principles to ensure data quality, governance, and consistency across enterprise systems.
Develop complex SQL queries for data extraction, transformation, validation, and performance improvement across relational database platforms.
Work within Agile teams to support sprint activities, deployments, documentation, and continuous improvement practices.
Collaborate with data architects, analysts, DBAs, and business users to ensure successful and accurate delivery of data solutions.
Troubleshoot ETL issues, perform root‑cause analysis, recommend improvements, and ensure adherence to data standards and security policies.

Required Skills
5+ years of experience ETL (IBM DataStage) - Required
1+ years of exposure to Cloud Pak for data - Required
5+ years of experience with Unix/Linux
3+ years of experience with Master Data Management

Desired Skills
Previous Government experience.

Thanks & Regards,

Naresh

Global IT Family
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