Principal MDM Architect

Revvity

. Define and lead enterprise-wide data architecture strategy and roadmap .

Posted 11/12/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Architecture, Master Data Management (MDM), and Data Governance, with a strong focus on implementing AI-driven strategies and ensuring data quality and compliance across enterprise systems. Proven ability to lead cross-functional teams and drive large-scale data transformation initiatives aligned with business objectives.

Highest-signal resume keywords

Data Architecture StrategyMaster Data Management (MDM)Data Governance FrameworksAI-Driven Data SolutionsEnterprise Data Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData IntegrationData Quality AssessmentMetadata ManagementReference Data ManagementAPIsETL/ELT PlatformsAWSAzureGCP

Soft Skills

Strategic ThinkingExecutive CommunicationStakeholder ManagementProblem-SolvingDecision-Making

Tools & Technologies

Tibco EBXSAP MDGSalesforce (SFDC)Microsoft Dynamics 365BoomiMuleSoftRedshiftPostgreSQLOracleSQL Server

Industry Keywords

Life SciencesHealthcarePharmaceuticalManufacturingConsumer Products

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureERPETLGoogle Cloud PlatformOraclePostgresSFDCSOAPSQL

About the role

Key responsibilities & impact

Define and lead enterprise-wide data architecture strategy and roadmap
Establish scalable architecture for Master Data Management, Data Governance, Data Quality, Metadata Management, and Reference Data Management
Develop target-state data architecture aligned with business objectives and digital transformation initiatives
Provide architectural leadership and governance across data platforms, integrations, and downstream applications
Define architecture standards, design principles, and best practices for enterprise data
Define and implement an AI-driven MDM strategy
Evaluate and integrate Generative AI, Machine Learning, and Intelligent Automation into MDM processes
Design AI-assisted data stewardship workflows for validation, enrichment, classification, and exception handling
Leverage AI for entity resolution, duplicate detection, survivorship optimization, and record matching
Establish AI governance policies for transparency, explainability, security, and regulatory compliance
Serve as lead SME and architect for MDM solutions
Design and implement Customer, Product, Vendor, Supplier, and Reference Data Master solutions
Establish and maintain Single Source of Truth and Golden Record strategies
Define survivorship, matching, merging, hierarchy management, and data stewardship processes
Lead MDM platform selection, evaluation, implementation, and optimization
Define enterprise data governance frameworks, standards, policies, and operating models
Partner with stakeholders to establish data ownership, stewardship, and accountability models
Lead data quality profiling, monitoring, remediation, and continuous improvement
Implement governance processes ensuring data consistency, accuracy, compliance, and auditability
Drive adoption of data governance practices across business units
Implement GenAI-powered data issue remediation recommendations, business rule generation and validation, natural-language search, metadata enrichment, and AI-assisted onboarding
Design end-to-end data integration architectures across ERP, CRM, PLM, supply chain, and analytics platforms
Lead integration strategy between MDM and enterprise applications
Define data exchange patterns, APIs, services, and event-driven architectures
Review and approve technical solution designs
Evaluate emerging data technologies and establish enterprise data architecture standards
Conduct architecture reviews and provide technical oversight
Drive innovation while balancing scalability, maintainability, and operational support
Partner with executive leadership, business stakeholders, data stewards, and technology teams
Translate business requirements into scalable architectural solutions
Present architecture roadmaps and recommendations to senior leadership
Serve as escalation point for critical data and architecture issues
Lead and mentor architects, developers, analysts, and data engineers
Establish technical standards and review processes
Support project planning, estimation, resource allocation, and delivery governance
Foster engineering excellence and continuous learning

Requirements

What you’ll need

15+ years of experience in Data Management, Data Architecture, Data Integration, or related disciplines
8+ years of experience designing and implementing enterprise MDM solutions
Proven experience leading large-scale enterprise data transformation initiatives
Experience defining MDM strategy and enterprise data roadmaps
Experience managing architecture teams and cross-functional delivery organizations
Experience working directly with executive stakeholders and business leaders
Strong experience in Tibco EBX (Orchestra Networks) or SAP MDG
Expertise in Data Governance frameworks and operating models
Experience implementing Data Stewardship programs
Strong understanding of metadata management and reference data management
Experience with data quality assessment, profiling, remediation, and monitoring
Knowledge of regulatory and validation environments
Experience integrating SAP ERP, Microsoft Dynamics 365, Salesforce (SFDC), PLM solutions, CRM platforms, supply chain systems, data warehouses, and analytics platforms
Integration experience with APIs, SOAP services, REST services, ETL/ELT platforms, and enterprise integration platforms such as Boomi or MuleSoft
Experience deploying enterprise data platforms in AWS, Azure, or GCP
Knowledge of Redshift, PostgreSQL, Oracle, SQL Server, or equivalent databases
Experience with high availability, disaster recovery, and resiliency architectures
Experience with WebLogic, JBoss, Tomcat, or similar middleware platforms
Preferred: experience in Life Sciences, Healthcare, Pharmaceutical, Manufacturing, or Consumer Products industries
Preferred: experience integrating with Dun & Bradstreet (D&B) services for identity resolution and enrichment
Preferred: experience with large-scale customer data platforms and commercial data ecosystems
Preferred: knowledge of domain-driven architecture and modern data management practices
Preferred: experience supporting validated and regulated environments
Strategic thinking, executive communication, stakeholder management, organizational influence, problem-solving, and decision-making capabilities