Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 06 Month(s)
No Travel Required
Skills
IBM SmartCloud
IBM InfoSphere DataStage
ELT
Python
IBM Match 360
Job Details
Position: MDM Technical Architect with (IBM Match 360 Exp, IBM Cloud Pak for Data (CP4D))
Location: Remote
The ideal candidate is a hands-on expert with a deep understanding of the entire MDM lifecycle, from data ingestion and analysis to matching, stewardship, and consumption. You will be the technical authority for the Match 360 solution, responsible for translating business requirements into a robust, scalable, and high-performing master data hub.
Key Responsibilities:
- Solution Architecture & Design:
- Lead the overall technical design and architecture of the IBM Match 360 solution on the Cloud Pak for Data platform.
- Define and configure the master data model, including record types, attributes, relationships, and taxonomies within Match 360.
- Ensure the solution aligns with enterprise architecture standards, security policies, and business objectives.
- Data Ingestion & Integration:
- Design and implement robust data ingestion pipelines to load data from various source systems into the CP4D environment.
- Collaborate with data engineering teams to establish best practices for data extraction, transformation, and loading (ETL/ELT) into Match 360.
- Data Analysis & Quality:
- Perform in-depth source data analysis and profiling to understand data structures, quality gaps, and business rules.
- Develop and implement data cleansing, standardization, validation, and enrichment rules using IBM's data quality toolsets and Match 360 capabilities.
- Matching & Stewardship Configuration:
- Design, configure, test, and fine-tune the matching and linking algorithms (probabilistic and deterministic) to accurately identify duplicates and create master records ("Golden Records").
- Set up and manage data stewardship workflows, review thresholds, and user interfaces for resolving potential matches and data quality issues.
- Train and support data stewards in using the platform effectively.
- Implementation & Governance:
- Serve as the hands-on technical lead throughout the project lifecycle, performing configuration and development tasks directly within the platform.
- Collaborate with business stakeholders, data governance councils, and IT teams to define and enforce data governance policies.
- Design and implement data consumption patterns, services, and APIs for downstream applications and analytics platforms.
- Documentation & Support:
- Create and maintain comprehensive technical documentation, including data models, architectural diagrams, configuration guides, and operational procedures.
- Provide expert-level support for troubleshooting and performance tuning of the Match 360 solution.
Required Qualifications & Skills:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5+ years of experience in data management, data integration, or data architecture roles.
- 3+ years of proven, hands-on experience designing and implementing MDM solutions, with specific and recent expertise in IBM Match 360.
- Strong proficiency with the IBM Cloud Pak for Data (CP4D) platform, including its core components, services, and architecture.
- Deep understanding of MDM principles, including data modeling, data governance, data quality, data stewardship, and survivorship rules.
- Demonstrable experience with data profiling, data cleansing, and configuring complex matching algorithms.
- Proficiency in SQL and experience with a scripting language (e.g., Python) for data manipulation and automation.
- Excellent analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with both technical teams and business stakeholders.
Preferred Qualifications:
- IBM Certified Specialist - Cloud Pak for Data v4.x or similar certifications.
- Experience with other components of the IBM Data Fabric, such as Watson Knowledge Catalog (WKC), DataStage, or QualityStage.
- Knowledge of REST APIs and integration patterns for consuming master data.
- Experience working in an Agile/Scrum development environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.