Senior Data Engineering Lead

Position

Description:

This role is hybrid and requires you to be at our / client office at a minimum of 5 days a month- subject to change at any time.

CGI is seeking an experienced Senior Data Engineer Lead to join our Banking Services practice in Downtown Toronto. In this role, you will translate complex banking business concepts into conceptual, logical, and physical data models.

You will work with banking stakeholders, architects, engineers, and governance teams to support transformation across data warehouses, lakehouses, and cloud analytics platforms.

Your future duties and responsibilities:

1. Lead the translation of business requirements into scalable, enterprise-grade data engineering solutions across the Azure data platform.

2. Own the design and architecture of end-to-end data pipelines, including ingestion, transformation, storage, and consumption layers using ADLS, Databricks, and Azure Data Factory (ADF).

3. Provide technical leadership and guidance to data engineers, ensuring best practices in coding, performance optimization, and reliability.

4. Define and maintain engineering standards and artifacts, including:

Pipeline and workflow architectures

Data flow designs (landing → raw → curated → consumption)

Job orchestration, scheduling, and dependency management

Interface specifications for APIs, events, and file-based integrations

5. Lead the development of high-performance Databricks pipelines using PySpark and Spark SQL, following Delta Lake and Azure best practices.

6. Collaborate closely with data modelers and architects to ensure alignment with logical and physical data models, including naming, partitioning, and performance standards.

7. Drive data governance, quality, and compliance initiatives; participate in model reviews, impact assessments, and design approvals.

8. Translate data models into engineering-ready specifications, including source-to-target (S2T) mappings, schema definitions, and business rules.

9. Partner with cross-functional teams (engineering, architecture, analytics, and business stakeholders) to deliver reliable and scalable data solutions.

10. Review code, mentor team members, and support production deployments and issue resolution.

Required qualifications to be successful in this role:

1. 7–12+ years of experience as a Data Engineer, including hands-on experience in a Lead role.

2. Strong banking domain experience, including accounts, loans, credit, and payments.

3. Proficiency with ER modeling tools such as Erwin, ER/Studio, Sparx EA, and SQLDBM.

4. Strong knowledge of data warehouse design, including star and snowflake schemas, data mesh architecture, and Data Pattern 5.0.

5. Hands-on experience with PySpark for distributed data processing and transformations.

6. Proven experience with Azure data technologies, including Azure Databricks, Azure Data Factory (ADF), Apache Spark, Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.

Preferred Qualifications

- Experience with Databricks Unity Catalog.

- Experience with IFRS 9, Basel, payments, or compliance reporting.
- Knowledge of Data Vault 2.0, canonical, or event-driven modeling.
- Agile experience.
- Degree in CS, Engineering, or related field.

** CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,–$,. This role is an existing vacancy.*
* Disclaimer :
Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position.

Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

#LI-AV1

Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position.

Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

Skills: