Data Warehouse Architect
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Role details
Tech stack
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Job description
- Design, build, enhance, and optimize ETL pipelines using IBM DataStage (parallel/server jobs, performance tuning, job sequencing).
- Support the 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 MDHHS 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.
Requirements
The MDHHS/DTMB AS 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., * 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+ 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
related field.
Other desired Skills:
- 5+ years of experience developing ETL solutions using IBM DataStage.
- Proficiency in:
- Python for automation
- MDM, data quality, and data governance methodologies
- Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
- Experience in large, complex enterprise data environments with multiple data sources.
- Prior experience supporting our projects or other public-sector environments.
- Knowledge of IBM Knowledge Catalog (metadata, lineage, 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.
Benefits & conditions
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way. We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years! FastTek Global is a financially strong, privately held company that is 100% consultant and client focused. We’ve differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you’ve heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies. Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
- Medical and Dental (FastTek pays majority of the medical program)
- Vision
- Personal Time Off (PTO) Program
- Long Term Disability (100% paid)
- Life Insurance (100% paid)
- 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
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