Senior Consultant – Master Data Management (Cloud)

Informatica IDMC – Customer 360 · Supplier 360 · Business 360 · Reference 360 · CDI · CAI · CDQ

Location-Bengaluru, India (Hybrid)

Employment Type-Full-time

Level-Senior (6–10 Years)

Role Summary The Senior Consultant – Master Data Management (Cloud) is responsible for leading the technical delivery of Informatica IDMC Master Data Management implementations across Customer 360, Supplier 360, Business 360, and Reference 360. The role combines solution design, hands-on implementation, and technical leadership to deliver scalable, maintainable, and business-aligned MDM solutions.

Working closely with architects, business stakeholders, and project teams, the Senior Consultant owns end-to-end delivery of assigned workstreams, drives technical decision-making, mentors delivery teams, and ensures solutions align with enterprise architecture, data governance standards, and implementation best practices.

Key Responsibilities

Solution Design & Configuration

· Design and implement master data solutions across Customer 360, Supplier 360, Business 360, and Reference 360 based on business and functional requirements.

· Define master data models, business entities, relationships, hierarchies, and reference data structures that support enterprise-wide data management.

· Design matching strategies, trust models, survivorship rules, duplicate prevention mechanisms, and cross-reference configurations to improve master data quality while maintaining business usability.

· Evaluate business requirements and recommend implementation approaches aligned with Informatica MDM best practices and platform capabilities.

· Review solution designs to ensure scalability, maintainability, and alignment with enterprise architecture standards.

· Promote reusable configurations and standardized implementation approaches across delivery teams.

Integration & Data Migration

· Design and implement integration patterns for ingesting, synchronizing, and publishing master data across enterprise applications.

· Develop Cloud Data Integration (CDI) mappings and Cloud Application Integration (CAI) orchestrations to support master data lifecycle processes.

· Define source-to-target mappings, transformation logic, reconciliation processes, and data migration strategies for initial and incremental loads.

· Design REST API integrations with enterprise applications and downstream systems.

· Analyse and resolve complex integration issues involving APIs, asynchronous processing, and data synchronization.

· Optimize integration performance for high-volume master data processing and cloud-native deployments.

Match, Merge, Data Quality & Stewardship

· Design matching strategies that maximize duplicate detection accuracy while minimizing false positives across multiple master data domains.

· Configure trust and survivorship models that reflect business ownership, source system reliability, and governance requirements.

· Define and implement data quality controls covering validation, standardization, enrichment, profiling,



and duplicate prevention using Cloud Data Quality (CDQ).

· Partner with business users and Data Stewards to establish stewardship processes, exception management workflows, and remediation strategies.

· Analyse data quality trends and recommend improvements that enhance the accuracy, completeness, and consistency of enterprise master data.

Data Governance & Compliance

· Embed Data Governance principles into solution design through stewardship processes, ownership models, governance controls, and reference data standards.

· Collaborate with governance teams to define master data standards, business rules, metadata requirements, and governance policies.

· Ensure solution designs support auditability, lineage, compliance, and long-term maintainability.

· Promote governance best practices across implementation teams through design reviews and technical guidance.

· Contribute to the implementation of governance frameworks that improve enterprise data quality and consistency.

Technical Leadership & Delivery

· Own technical delivery for assigned workstreams from solution design through production deployment.

· Review configurations, integrations, and development activities to ensure adherence to delivery standards and implementation best practices.

· Resolve complex functional and technical issues by balancing business requirements, platform capabilities, and project timelines.

· Identify technical risks, implementation dependencies, and performance bottlenecks, recommending practical mitigation strategies.

· Guide Consultants through technical challenges by providing mentoring, design guidance, and implementation reviews.

· Support production deployments, major releases, and post-production stabilization activities.

Client Engagement

· Lead discovery sessions, requirement workshops, and solution design discussions with business and technical stakeholders.

· Translate business requirements into solution designs, technical specifications, and implementation plans.

· Present architecture decisions, implementation approaches, and technical recommendations to project stakeholders.

· Build trusted relationships with client teams by providing practical technical guidance throughout the implementation lifecycle.

· Collaborate with Enterprise Architects, Integration Architects, and Data Governance teams to deliver integrated solutions.

Practice Contribution

· Mentor Consultants through technical coaching, design reviews, implementation guidance, and knowledge-sharing initiatives.

· Contribute to project estimations, sprint planning, resource planning, and implementation planning activities.

· Support proposal development,



proof-of-concepts, technical demonstrations, and pre-sales solutioning activities.

· Develop reusable accelerators, templates, utilities, and implementation standards that improve delivery consistency across the practice.

· Evaluate current Informatica IDMC capabilities and recommend adoption where they provide measurable business value.

· Contribute to internal capability development through technical sessions, certifications, and practice initiatives.

Required Skills & Competencies

· Strong hands-on experience implementing Informatica Customer 360, Supplier 360, Business 360, or Reference 360 solutions.

· Strong expertise in Cloud Data Integration (CDI), Cloud Application Integration (CAI), and Cloud Data Quality (CDQ).

· Deep understanding of Master Data Management concepts including Golden Records, Match & Merge, Trust, Survivorship, Hierarchy Management, Reference Data Management, and Cross References (XREF).

· Working knowledge of Data Governance principles, including data stewardship, ownership, metadata management, lineage, governance policies, and auditability.

· Strong understanding of Data Quality methodologies including profiling, validation, standardization, cleansing, monitoring, and remediation.

· Experience designing REST API integrations and cloud-native integration patterns.

· Strong SQL skills with the ability to troubleshoot complex data issues and optimize data processing.

· Experience integrating Informatica MDM with enterprise applications including ERP, CRM, Procurement, and downstream analytical platforms.

· Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.

· Excellent analytical, communication, stakeholder management, and problem-solving skills.

Experience

· 6–10 years of experience in Master Data Management, Enterprise Data Management, or Data Integration.

· Proven experience leading one or more end-to-end Informatica IDMC MDM implementations.

· Experience delivering Customer 360, Supplier 360, Business 360, or Reference 360 solutions within consulting or system integration environments.

· Experience working directly with business stakeholders throughout solution design and delivery.

Preferred / Nice to Have

· Informatica IDMC certifications in Customer 360, Supplier 360, CDI, CAI, or CDQ.

· Experience with Product 360 and Reference 360 implementations.

· Familiarity with Databricks, Snowflake, Azure Synapse, Amazon Redshift, or other modern cloud data platforms.

· Experience integrating with enterprise applications such as SAP, Oracle, Salesforce, Workday, or Microsoft Dynamics.

· Exposure to Agile delivery methodologies, CI/CD pipelines, and DevOps practices.

· Experience supporting cloud modernization or migration initiatives from on-premise MDM to IDMC.

Education

· Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related discipline.

· Relevant Informatica or cloud platform certifications will be considered an advantage.

📌 Senior Consultant MDM (Cloud) (Bengaluru)
🏢 08World
📍 Bengaluru