[Hiring] IBM MDM ARCHITECT @OTSI

Role Description

This is a remote position.

Object Technology Solutions, Inc (OTSI) has an immediate opening for an IBM MDM ARCHITECT.

Major Responsibilities:

• Own data quality, matching logic, and golden record creation
• Strong experience in Master Data Management (MDM)
• Hands-on with:
  • Matching & deduplication strategies
  • Golden record creation
• Experience tuning:
  • False positives / false negatives
• Knowledge of:
  • Phonetic matching (Soundex, etc.)
  • Data quality rules
• Key Responsibilities:
  • Define and tune matching algorithms
  • Identify and fix:
    • Duplicate records
    • Data inconsistencies
  • Work with business teams to:
    • Define matching rules
    • Handle edge cases
    • Validate new data sources and ingestion logic
    • Define data quality metrics & SLAs
• Good to Have:
  • Experience with tools like:
    • Informatica MDM
    • Reltio
    • IBM MDM
  • Exposure to SQL

Qualifications

• The right fit is looking for IBM MDM (virtual) guy who is able to move on-prem MDM to cloud with Kubernetes and they would need Java knowledge
• Conduct comprehensive reviews of the current MDM ecosystem, including matching and linking algorithm performance, duplicate and suspect processing, and custom extensions.
• Evaluate and enhance logging, monitoring, backup, and recovery processes to ensure system reliability and resiliency.
• Assess and optimize transaction/query SLAs and index performance, identifying and addressing known issues such as bucket overflows and bulk-load mechanism gaps (including DataStage constraints).
• Design, develop, and maintain Java code for MDM algorithms, data processing, and integration components, ensuring code is performant, scalable, and maintainable.
• Refactor and optimize existing Java code, and write unit, integration, and system tests for all Java components.
• Adjust matching algorithm thresholds to minimize false positives/negatives and add/test new matching attributes (e.g., email + last name, phone combinations).
• Assess and implement phonetic matching techniques (e.g., Soundex), and lead feasibility studies to determine the need for single or multi-algorithm approaches for different business lines.
• Perform sample pairing for new data sources, collaborating with business teams to identify edge cases and refine algorithm behavior, including store-identifier-based auto-matching where applicable.
• Review and enhance frequency-based and dynamic bucketing strategies, assess passive execution options to minimize production impact, and validate interactions with STR tables and existing buckets.
• Develop and document bulk load strategies, including ingestion options with and without entity management/event handlers; explore disabling matching for high-volume ingestion scenarios (e.g., 200M+ records) and evaluate alternative ingestion patterns beyond API-only approaches.
• Capture and report on metrics, SLAs, and trade-offs for each ingestion strategy.
• Target <2 seconds for matching response time through iterative tuning, must-gather data analysis, and leveraging load testing tools (e.g., JMeter); review reconciliation SLAs as part of ongoing optimization.
• Address deployment challenges such as outages and unpredictable environment behaviors; explore and implement CICD or improved deployment automation; review and optimize configuration, code, and deployment steps for efficiency.
• Plan and implement Auth/PingFed-based authentication, reduce reliance on process IDs and passwords, automate credential rotation, and maintain a dedicated 'Security' category in the scope documentation.
• Ensure all code adheres to coding standards and guidelines.

Requirements

• Java 21 (core and advanced), including object-oriented programming and multithreading
• Master Data Management (MDM) platforms and tools
• Algorithm development for data matching, linking, and deduplication (including phonetic algorithms like Soundex)
• Data integration frameworks and ETL tools (e.g., DataStage)
• SQL and database optimization (indexing, query tuning, bulk operations)
• Performance tuning and system health monitoring for large-scale data systems
• Logging, monitoring, backup, and recovery solutions
• Load testing tools (e.g., JMeter)
• CI/CD pipeline tools and deployment automation (e.g., Jenkins, GitHub)
• Secure coding practices, including Auth authentication and credential management
• Microservices API development and integration (e.g., RESTful services)
• Unit, integration, and system testing frameworks (e.g., JUnit, Mockito)
• Documentation tools (Confluence, GitHub, DX Guides)
• MDM Modernization
• Migration from on-premises infrastructure to the cloud
• Adoption of containerization for deployment and scalability