Data Warehouse Architect 5

Title

Data Warehouse Architect 5

Interview Process

• In-person and Virtual
• 1 2 rounds

Assignment Duration

• Projected 1-year+ contract, dependent on business need

Hybrid Work Schedule

• Hybrid (Non-Negotiable)
• Wednesdays and Thursdays are the required onsite days each week.
• Candidates MUST be able to work onsite on these days from the beginning.
• No remote-only option.

Candidate Location

• Open to candidates local to the Lansing, Michigan area.
• Candidates willing to relocate may also be considered.
• Candidates must relocate before Day 1 at their own expense.
• Candidates MUST meet all requirements from the beginning.

Required Skills

• 1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).
• 3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
• 5+ years of Unix/Linux scripting and system operations.
• 3+ years of Advanced SQL for analysis and ETL support.

Preferred Skills

• Public health, Health Industry, or State Government experience.

Required Education

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

Full Job Description Job Summary

The Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20.

The resource will support enterprise data modernization efforts, including migration of legacy workloads to CP4D, development of robust ETL pipelines, and technical leadership for data quality, governance, and integration initiatives.

This role requires strong analytical capabilities, advanced ETL engineering skills, and the ability to work effectively across complex enterprise environments.

Key Responsibilities

• Design, build, enhance, and optimize ETL pipelines using IBM DataStage, including parallel/server jobs, performance tuning, and job sequencing.
• Support migration of DataStage workloads from on-premise environments to IBM Cloud Pak for Data (CP4D), including refactoring, modernization, testing, and validation.
• Develop and optimize complex SQL and BTEQ scripts for Teradata 20, supporting large-scale data integrations and analytics workloads.
• Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data processing.
• Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality, and reliability across systems.
• Work collaboratively with data architects, DBAs, analysts, business owners, and technical teams to align deliverables with program objectives.
• Conduct troubleshooting, root-cause analysis, and remediation activities for ETL pipeline issues.
• Support Agile delivery, including sprint participation, documentation, testing, and continuous improvement activities.

Required Skills

• 1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).
• 3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
• 5+ years of Unix/Linux scripting and system operations.
• 3+ years of Advanced SQL for analysis and ETL support.

Preferred Skills

• Public health, Health Industry, or State Government experience.

Required Education

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

Other Desired Skills

• 5+ years of experience developing ETL solutions using IBM DataStage.
• Proficiency in Python for automation.
• Experience with MDM, data quality, and data governance methodologies.
• Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
• Experience working in large, complex enterprise data environments with multiple data sources.
• Prior experience supporting public-sector environments.
• Knowledge of IBM Knowledge Catalog, including metadata, lineage, and governance.
• Exposure to IBM Manta for lineage and impact analysis.
• Familiarity with cloud-native platforms such as OpenShift or Kubernetes.
• Experience with CI/CD pipelines, version control, and Agile methodologies.