Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.
AS
Master Data Management Data Engineer
Posted 2 months ago
About the role
- MDM Data Engineer at AAIS overseeing master data management and governance. Developing platforms and pipelines while collaborating across teams to ensure data integrity and quality.
Responsibilities
- Build and maintain the MDM platform, including entity resolution, match/merge rules, survivorship logic, and golden record management.
- Develop and enforce data models that support party, policy, and reference data domains across the enterprise.
- Architect MDM hub configurations (registry, consolidation, or co-existence models) appropriate to AAIS’s operational context.
- Build and maintain MDM integration layers connecting source systems, the data lake/warehouse, and downstream consumers.
- Define and implement data governance policies, standards, and workflows in collaboration with Data Stewards and the Director of Data Solutions.
- Develop data quality rules, profiling routines, and exception-handling workflows to ensure master data integrity across all jurisdictions.
- Maintain business glossaries, data dictionaries, and lineage documentation for all master data domains.
- Partner with business stakeholders to define data ownership, stewardship responsibilities, and escalation paths for data quality issues.
- Analyze and profile source data to assess quality, completeness, atomicity, and referential integrity prior to MDM onboarding.
- Implement automated data quality monitoring and alerting to proactively surface master data anomalies and support data quality KPI tracking.
- Establish and track data quality KPIs and SLAs for key master data domains.
- Design and develop data integration pipelines that feed the MDM platform from disparate source systems in batch and near-real-time.
- Build and maintain ETL/ELT workflows using cloud-native tooling (AWS Glue, Step Functions) and integration platforms.
- Ensure referential integrity and consistent application of master data identifiers across the data ecosystem.
- Support the broader Data Lake/Warehouse environment, contributing to data modeling, analytics engineering, and BI delivery as needed.
- Collaborate with the Data Engineering team to ensure MDM outputs are properly integrated into reporting, analytics, and statistical data collection workflows.
- Contribute to Agile sprint planning, technical documentation, and peer code review processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related discipline.
- 5+ years of data engineering experience, with a minimum of 3 years focused specifically on MDM platform development and data governance.
- Demonstrated experience owning MDM implementations end-to-end, including data model design, match/merge tuning, and integration delivery.
- Experience with data quality tooling and profiling methodologies.
- Proficiency in SQL & Python.
- Experience in property and casualty insurance or other regulated industries a plus.
- Bonus: Experience working with statistical data, Actuarial models, or licensed statistical agent environments.
Benefits
- Up to 5% travel for annual company gatherings or team sessions
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