Master Data Management (MDM) Consultant Integration Engineer

Master Data Management (MDM) Consultant Integration Engineer

Accenture is looking for a Master Data Management (MDM) Consultant Integration Engineer.

We are Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry.

What You’ll Do:

• Design, develop, and support MDM solutions using SaaS-based MDM platforms such as Informatica IDMC (C360/B360) or Reltio, including configuration, customization, and ongoing operations.
• Define and implement MDM strategies encompassing data governance, metadata management, and data quality frameworks using tools like Informatica CDQ, CDGC, and Collibra.
• Build and optimize end‑to‑end data integration solutions using Informatica Cloud Data Integration (CDI) and Cloud Application Integration (CAI) to enable seamless data movement across hybrid environments.
• Design and implement real‑time and event‑driven pipelines leveraging Pub/Sub architectures and messaging frameworks such as Kafka, Azure Event Hub, or equivalent technologies.
• Develop and orchestrate API‑led integrations and event‑based workflows using Informatica CAI, ensuring near real‑time data synchronization and process automation.
• Deliver clean, harmonized, and scalable datasets prepared for MDM and downstream analytics, applying data profiling, standardization, enrichment, and validation rules.
• Collaborate with data architects and governance teams to define master data domains, survivorship rules, and identity resolution logic aligned with business objectives.
• Conduct performance tuning and scalability testing for batch and real‑time data pipelines to ensure enterprise‑grade reliability and throughput.
• Support data onboarding, enrichment, survivorship, and golden record publication processes to maintain high‑quality master data across the organization.
• Provide ongoing support, enhancements, and troubleshooting for integration, MDM, and data quality components to ensure stability and continuous improvement.

What You Need:

• A minimum of 3+ years of hands‑on experience implementing and supporting MDM solutions using leading platforms such as Informatica IDMC (C360/B360), Profisee, or similar SaaS MDM tools.
• Proven experience in data integration development using Informatica Cloud Data Integration (CDI) – including building batch, real‑time, and event‑driven pipelines across multiple source systems.
• At least 2–3 years of experience working with Informatica Cloud Application Integration (CAI) for API‑based orchestration, process automation, and real‑time data synchronization between enterprise and cloud systems.
• Strong expertise in event‑driven integration architectures, including hands‑on experience with Pub/Sub messaging systems, Kafka, or Azure Event Hub to enable near real‑time data ingestion and propagation.
• Demonstrated experience designing and implementing API‑led integrations, including REST/SOAP APIs, webhooks, and Informatica CAI API services for seamless data exchange across platforms.
• Deep understanding of data quality, metadata management, and governance processes, including profiling, parsing, standardization, de‑duplication, and enrichment using tools such as Informatica CDQ and CDGC.
• Experience conducting data discovery, profiling, and cataloging to assess current‑state data assets and define future‑state integration and MDM architectures.
• Proven ability to define and operationalize data classification, business glossaries, and business rules, ensuring compliance with enterprise data governance frameworks.
• Strong analytical and problem‑solving skills with experience identifying data bottlenecks, optimizing pipeline performance, and improving scalability across cloud and hybrid environments.
• Excellent communication and collaboration skills to work effectively with data architects, business stakeholders, and governance teams in delivering enterprise data solutions.
• English is required for this position as it involves regular interaction with stakeholders across Canada, the US, and other countries.
• Eligibility for reliability security clearance.

Bonus Points:

• Experience in a role that led measurement and monitoring to determine the value generated and include impact analysis, data lineage, proactive monitoring, operational dashboards and business value.
• Experience in a role that led repeatable, iterative, and standardized processes to define how the data should be governed.
• Defining data domains.
• Change management.
• Data stewardship and ownership.
• Conflict resolution.
• Technology automation.
• Communication with stakeholders.
• Experience performing: Master Data Management, Metadata Management, Data Management and Integration, Systems Development Lifecycle (SDLC), Data Modeling Techniques and Methodologies, Database Management, Database Technical Design and Build, Extract Transform & Load (ETL) Tools, Cloud Data Architecture, Data Architecture Principles, Online Analytical Processing (OLAP), Data Processes, Data Architecture Estimation.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Business Consulting and Services

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