Data Engineering Expert - Master Data Management

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Company: CGL

Department:
Information Technology

Employment Type:

Regular Full-Time

Language:
This role operates in English

Work Model:
Remote

Additional Information:
This/these role(s) is/are currently vacant

We are a leading Canadian financial services co‑operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team who are passionate about excellence, innovation, and agility.

The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that collect and store large datasets and leading the design and build of data platforms that underpin and accelerate the build of data products.

They ensure the data product is resilient and is readily accessible across various teams in a secure manner. They ensure that data products comply with the data access policies and rules that the governance team implements and leads the design and implementation of robust security measures to protect sensitive information. They are also responsible for upskilling staff members in data tools and technologies and lead the implementation of new tools.

They take end‑to‑end ownership of building, deploying and maintaining data products. They are a seasoned professional with deep understanding of Azure cloud infrastructure, automation principles and has a security‑first mindset.

Data engineering expert will partner with the business, reporting specialists and with specialists from Advanced Analytics to drive the build of a product that satisfies the requirements of multiple stakeholders. They will also partner with networking, security, data governance, data engineering leaders and vendors like Microsoft and Databricks to drive the build of the data platform.

This role will empower Co‑operators data community and the cloud community by contributing to the cloud catalog.

• Lead and coordinate security and platform updates to the underlying data infrastructure by collaborating with various data delivery teams and foster a working group to share best practices across the data engineering community at Co‑operators.
• Designing and implementing cloud MDM solutions:
  Lead the technical strategy and development of the enterprise Master Data Management (MDM) platform, with a focus on cloud‑native MDM. Plan capacity, setup and configure the MDM platform. Create infrastructure including data flows, tools and networking aspects such as private endpoints, subnets.
• Build Data Integration templates:
  Build event‑driven integration using Azure Event Grid/Service Bus (topics/queues), and implement idempotent consumers for change data capture (CDC) and publish/subscribe patterns.
• Integrate MDM with Azure Data Lake to expose MDM data for downstream analytical use cases and leverage datalake as a source. Define entity/domain models (Customer/Party, Product, Provider, Location, etc.) and canonical schemas supporting golden records and hierarchies.
• Establish match/merge (deterministic & probabilistic) and survivorship strategies, including confidence scoring, rules authoring, and auditability.
• Define and implement data models, survivorship rules, workflows, and integration patterns across master data domains (e.g., Client, Product, Advisor, Account, etc.).
• Oversee the migration of legacy on‑prem MDM platforms to the modern cloud MDM environment, ensuring high…