What are the responsibilities and job description for the IBM Cloud Pak Engineer position at Jobs via Dice?
Job Title: IBM Cloud Pak Engineer
Location: Lansing, MI (On-site)
Duration: Contract (6 months)
Job Summary
STAFFXPERT LLC is seeking an IBM Cloud Pak Engineer on behalf of our client in Lansing, MI. This role is ideal for a highly skilled professional with deep expertise in IBM Cloud Pak for Data and a strong background in enterprise data architecture and governance. You will play a critical role in modernizing data platforms, enabling scalable solutions, and ensuring high standards of data quality and integrity.
Key Responsibilities
Location: Lansing, MI (On-site)
Duration: Contract (6 months)
Job Summary
STAFFXPERT LLC is seeking an IBM Cloud Pak Engineer on behalf of our client in Lansing, MI. This role is ideal for a highly skilled professional with deep expertise in IBM Cloud Pak for Data and a strong background in enterprise data architecture and governance. You will play a critical role in modernizing data platforms, enabling scalable solutions, and ensuring high standards of data quality and integrity.
Key Responsibilities
- Design, develop, and maintain enterprise data solutions using IBM Cloud Pak for Data
- Lead and support the migration of legacy IBM DataStage workloads to modern cloud-based platforms
- Define, implement, and enforce data architecture standards, patterns, and best practices
- Collaborate with cross-functional teams including business, analytics, and IT stakeholders
- Ensure data quality, consistency, governance, and lifecycle management across systems
- Contribute to building scalable, reliable, and secure data ecosystems
- 5 years of hands-on experience with IBM Cloud Pak for Data
- 5 years of experience with IBM Knowledge Catalog, including migration and support of DataStage workloads
- 5 years of hands-on experience with IBM Manta
- Strong experience in defining and implementing enterprise data architecture standards
- Proven ability to translate business requirements into scalable data solutions
- Experience working in large, complex enterprise environments with multiple data sources
- Solid understanding of data governance, data quality, and lifecycle management
- Excellent communication and collaboration skills across technical and non-technical teams