Senior AWS Data Architect

Position Description:

Location: Toronto
Hybrid: Must be willing to go on site downtown Toronto 3 times a week


Are you a Senior AWS Data Architect whos passionate about building modern scalable and intelligent data platforms Do you find yourself constantly imagining how fragmented inconsistent and siloed data could be transformed into a unified trusted high-performing ecosystemIf you thrive on designing cloud-native data architectures enabling high-quality data engineering and solving complex data challenges at scalewhile collaborating with talented colleagues and global clientsthen you belong on our team. Join us to architect and deliver cutting-edge Cloud Data and AI solutions that turn messy data landscapes into powerful enterprise assets.

The Emerging Technologies team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data Cloud and Advanced Analytics advisorand the go-to implementation partnerfor global clients data and AI needs. We are an entrepreneurial team continuously positioning CGI as a best-in-class Cloud and Data partner by delivering modern architectures scalable platforms and cutting-edge innovation. We engage end-to-end: understanding client business challenges assessing data and AI opportunities designing cloud data platforms building production-grade solutions and scaling them organization-wide for strategic impact.

Your future duties and responsibilities:

This is a hands-on architect role that also provides technical leadership to multi-disciplinary teams.

As a Senior Data Architect / Data Solutions Architect your core responsibilities include:

1. Lead & Deliver Client Engagements
- Act as the hands-on Senior Data Architect and technical lead across end-to-end cloud data engagements.
- Drive architectural decisioning roadmap creation and solution delivery for AWS-centric data platforms.
- Work directly with business and technical stakeholders to understand requirements and translate them into scalable data solutions.

2. Architect Modern Cloud Data Platforms (AWS Focus)
- Design data lake data warehouse and lakehouse architectures using AWS (S3 Redshift Glue Lambda EMR Athena Kinesis).
- Define data modeling patterns (dimensional data vault medallion architecture) and optimal storage partitioning and governance approaches.
- Evaluate and select the right services frameworks and patterns to meet performance cost security and scalability requirements.

3. Build Data Pipelines & Engineering Solutions
- Develop and oversee high-quality ETL/ELT pipelines using Glue EMR Lambda Step Functions or equivalent cloud tools.
- Work across batch streaming and microservices-based ingestion patterns.
- Ensure robust data quality metadata management lineage observability and operational excellence.

4. Hands-On Development
- Write and review production-grade Python and SQL applying best practices unit testing and optimization.
- Build automation and IaC using Terraform CloudFormation or AWS CDK.
- Work with large-scale complex and dispersed datasets across hybrid cloud environments.

5. Data Governance Security & Compliance
- Implement IAM KMS encryption data cataloging privacy controls and governance frameworks.
- Define standards for data quality lineage access models and multi-account cloud patterns.

6. Lead and Mentor
- Mentor junior and intermediate Data Engineers Data Scientists and Cloud Engineers.
- Guide teams in architecture choices engineering standards and best practices.
- Foster a high-performing collaborative team culture.

7. Thought Leadership & Client Growth
- Contribute to client proposals pre-sales discussions and solutioning for Data ML/AI GenAI and modernization initiatives.
- Create reference architectures reusable accelerators and thought leadership content.
- Support innovation initiatives and represent CGI in client workshops or industry discussions.

Other Responsibilities
- Drive strategic data discussions to help clients modernize legacy systems and adopt cloud-native architectures.
- Develop POCs and MVPs to demonstrate value and lead the transition from prototype to enterprise-scale production.
- Work across multi-cloud environments (Azure GCP Snowflake) when required with AWS as the primary focus.
- Collaborate with cross-functional teams to deliver cohesive solutions across Data Engineering MLOps DevOps and Application teams.
- Ensure solutions meet operational security performance cost and regulatory requirements.

Required qualifications to be successful in this role:

6 years relevant hands-on experience in AWS Data Architecture Data Architecture Data Engineering or Data Science with 9 years of overall experience
- Experience consulting clients or stakeholders on Data and AI engagements

Must-Have Qualifications

- Deep hands-on expertise with AWS data services (S3 Glue Redshift EMR Lambda Kinesis IAM)
- Strong experience designing data lakes data warehouses and end-to-end cloud data platforms
- Proven ability to build and optimize data pipelines and orchestration
- Strong Python and SQL for ETL/ELT automation and data validation
- Experience with big data ecosystems (Spark EMR distributed compute)
- Solid grounding in data modeling (dimensional data vault medallion/lakehouse)
- Knowledge of data governance security and compliance
- Strong communication and stakeholder-facing skills ability to translate business needs into architecture.
- English required French an asset.

Nice-to-Have Qualifications

- Experience with Azure or GCP cloud data services.
- Consulting background or exposure to client-facing architecture roles
- Experience supporting pre-sales proposals and solutioning
- Experience with ML/AI workflows feature stores or SageMaker
- Exposure to GenAI and LLM-driven data solutions (RAG pipelines vector stores embedding strategies).

#LI-AB19

Use of the term architect in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices architecture or possesses the requisite license as prescribed by the applicable provincial or territorial architect regulator. We are seeking individuals with expertise in IT architect-related functions but licensure from an architect regulator is not a prerequisite for this position. Architecture is a regulated profession in Canada which is restricted in terms of use of titles and designation.

Skills:

• Data Engineering
• Data Migration
• Data Modeling
• Data Validation
• Data Warehousing
• English

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer being able to perform your best during the recruitment process is important to us. If you require an accommodation please inform your recruiter.

To learn more about accessibility at CGI contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our teamone of the largest IT and business consulting services firms in the world.