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IBM MDM ARCHITECT

Job description

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

QUALIFICATIONS AND EXPERIENCE

·         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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