Master Data Management (MDM) Consultant Integration Engineer

What You Need:

• A minimum of 3+ years of hands-on experience implementing and supporting Master Data Management (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 this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

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. At a minimum, below processes and procedures must have been practiced.
  • 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 Principle
  • Online Analytical Processing (OLAP)
  • Data Processes
  • Data Architecture Principles
  • Data Architecture Estimation

Stay connected

Join Our Team

Keep Up to Date

Job Alert Emails