This is a remote position.
Object Technology Solutions, Inc (OTSI) has an immediate opening for an IBM MDM ARCHITECT
IBM MDM ARCHITECT (REMOTE )
MAJOR RESPONSIBILITES:
· 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
· 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.
SKILLS AND ABILITIES REQUIRED
· 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
· Micro services 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

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