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Ibm Mdm Architect

Remote / Online - Candidates ideally in
Biddeford, York County, Maine, 04005, USA
Listing for: Premier Inn Hotels LLC (UAE)
Remote/Work from Home position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: IBM MDM ARCHITECT

OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernise complex technology landscapes, harness the power of data, and build scalable AI‑led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge.

Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting‑edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi‑Tech, Telecom & Media, Manufacturing, and more.

Our focused technologies are:

  • Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights)
  • Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, Dev Ops)
  • Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development)
Job Description

This is a remote position.

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

Major Responsibilities
  • Own data quality, matching logic, and golden record creation
  • Strong experience in Master Data Management (MDM)
  • Hands‑on with matching & deduplication strategies
  • Experience tuning matching algorithms and data quality rules
  • Knowledge of phonetic matching (Soundex, etc.) and data quality rules
  • Define and tune matching algorithms
  • Identify and fix issues; work with business teams to define matching rules
  • Handle edge cases; validate new data sources and ingestion logic
  • Experience with tools like SQL, and exposure to SQL
Qualifications and Experience
  • The right fit is looking for IBM MDM (virtual) specialist who can move on‑prem MDM to cloud with Kubernetes and has 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 Data Stage 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 CI/CD or improved deployment automation; review and optimize configuration, code, and deployment steps for…
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