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Added 41 mins ago
AI Engineer
GEI Consultants, Inc.
Guelph, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 7 hours ago
AI Engineer Intern
Electronic Arts (EA)
Vancouver, BC
Temporary
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 7 hours ago
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
Full-time
Architect and guide enterprise data solutions on Google Cloud Platform (GCP), including technologies such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Dataplex,…
Added 12 hours ago
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and…
Added 12 hours ago
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
$118,300 to $168,300 CAD / year
Design and architect scalable AI systems and integrations running in cloud infrastructure, including LLM-powered features, agentic workflows, and MCP-based services.
Added 16 hours ago
Jr. Software Engineer, Health Systems
FluidAI Medical
Kitchener, ON
Full-time
…deterioration and complications. Beyond patient monitoring, our platform extends to patient education and engagement tools, as well as automated documentation and coding modules -…
Added 17 hours ago
Lead ML Platform Engineer
RBC
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 18 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 19 hours ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
Every video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design,…
Added 1 day ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 1 day ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 3 days ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel,…
Added 3 days ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 3 days ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
Added 3 days ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
…forward-deployed / customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 3 days ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service…
Added 3 days ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Data Engineer or Professional Cloud Architect).
Added 3 days ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 3 days ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer II to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 3 days ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 3 days ago
Senior Cloud Engineer
Vertage Global
Ottawa, ON
Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 3 days ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 3 days ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 3 days ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 3 days ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…

CGI

Director - Enterprise Data Warehouse and Data Platforms

Ottawa, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

Position Description

We are seeking a Director, Consulting Expert (DCE) – Enterprise Data Warehouse & Data Platforms to provide senior technical, solutioning, and client facing leadership

The DCE will serve as a trusted advisor to the client while helping shape, win, govern, and successfully deliver complex enterprise data initiatives.

This is not a narrow technical specialist or delivery only position. The DCE combines deep enterprise data warehouse and modern data platform expertise with consulting acumen, architecture leadership, commercial awareness, and executive presence. The successful candidate will be equally comfortable discussing business outcomes with senior client stakeholders, shaping and estimating solutions, leading architecture decisions, and engaging in detailed technical discussions with engineering teams.

Your future duties and responsibilities

Serve as a senior client facing advisor for enterprise data warehouse, data engineering, analytics, and data platform modernization initiatives within a complex telecommunications environment.
Translate business objectives and requirements into actionable data strategies, architectures, roadmaps, and solution options.
Lead end to end solution architecture, considering data, applications, integration, cloud, cybersecurity, operations, cost, scalability, and delivery trade offs.
Architect and guide enterprise data solutions on Google Cloud Platform (GCP), including technologies such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Dataplex, Dataform, and Looker.
Provide technical leadership across enterprise data warehousing, data modelling, ETL/ELT, batch and streaming pipelines, data quality, metadata, governance, security, and analytics.
Lead or co lead technical solutioning for strategic pursuits, proposals, RFPs, and account growth opportunities.
Develop and challenge solution scope, architecture, assumptions, estimates, resource models, dependencies, risks, and delivery approaches to ensure solutions are competitive and executable.
Orchestrate SMEs across data, cloud, applications, integration, cybersecurity, infrastructure, and operations to develop cohesive end to end solutions.
Lead or participate in architecture, estimation, proposal, and delivery governance reviews, identifying technical and delivery risks before commitments are made.
Advise on AI/ML and generative AI data readiness, including data quality, accessibility, governance, privacy, security, and responsible adoption.
Maintain sufficient hands on technical depth to challenge designs, validate assumptions, troubleshoot critical issues, and defend architectural decisions.
Mentor architects and technical leads and promote reusable architectures, patterns, accelerators, and solution assets across the team.
Partner with the DCS and broader P&L leadership to strengthen the client relationship, identify growth opportunities, improve solution quality, and develop technical leadership capability within the team.

Required Qualifications To Be Successful In This Role

10+ years of progressively responsible experience in leading enterprise data warehousing, data engineering, analytics, cloud architecture, solution architecture, or related IT consulting disciplines.
Demonstrated experience architecting and delivering complex enterprise data warehouse and modern cloud data platform solutions.
Strong experience with Google Cloud Platform (GCP) and its data and analytics ecosystem, particularly Big Query and associated ingestion, processing, orchestration, governance, and analytics capabilities.
Strong knowledge of enterprise data architecture, data modelling, ETL/ELT, data integration, data quality, metadata, security, governance, and analytics.
Strong SQL skills and working knowledge of modern data engineering technologies and practices such as Python, Git, CI/CD, Infrastructure as Code, APIs, and automated testing/deployment.
Experience with enterprise data technologies such as Snowflake, Databricks, Oracle, SQL Server, Teradata, Informatica, DataStage, dbt, or comparable platforms.
Demonstrated experience leading solution architecture for significant client engagements, proposals, RFPs, or complex technology pursuits.
Experience developing or validating solution estimates, delivery models, assumptions, dependencies, and technical risks.
Strong consulting and executive communication skills, including discovery, problem framing, facilitation, solution development, and client presentations.
Demonstrated ability to lead multidisciplinary technical teams, influence senior stakeholders, and mentor architects and technical leaders.
Working knowledge of AI/ML and generative AI concepts and their implications for enterprise data architecture and governance.

Preferred Qualifications:

Experience delivering data and analytics solutions within the telecommunications industry, with an understanding of large scale, high volume telco data environments and associated business and operational use cases.
Google Cloud certification, particularly Professional Cloud Architect and/or Professional Data Engineer, or equivalent demonstrated expertise.
Experience modernizing large legacy or on premises enterprise data warehouse environments to GCP.
Experience within a large IT consulting, systems integration, managed services, or professional services organization.
Experience supporting large, complex and highly integrated enterprise technology environments.
Commercial awareness encompassing consulting economics, solution costing, delivery risk, and value based solutioning.

Leadership Profile

The successful DCE will be a visible, take charge consulting leader who:

Leads with client and business outcomes rather than technology alone.
Has the executive presence to independently lead senior client conversations.
Takes ownership of ambiguous or difficult solution problems and drives them to resolution.
Retains enough hands on technical depth to challenge and defend important architecture decisions.
Challenges unrealistic estimates, unsupported assumptions, scope gaps, and delivery risks before commitments are made.
Works across organizational and technology boundaries rather than operating as a narrow or isolated SME.
Coaches and develops architects and technical leaders, raising the capability of the broader team.

Measures of Success

Success will be reflected in stronger client relationships, higher quality solutions and estimates, improved pursuit outcomes, reduced delivery risk, successful enterprise data initiatives, and increased technical capability across the team.

The DCE will be recognized by the client, delivery teams, DCS, and broader P&L leadership as a trusted senior advisor who connects telecommunications business outcomes, enterprise data architecture, technology, commercial realities, and delivery feasibility.

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 $115,000–$165,000. This role is an existing vacancy.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll 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.

You’ll shape your career by joining a company built to grow and last. You’ll 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.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

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 team - one of the largest IT and business consulting services firms in the world.

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More about this job

Responsibilities

Advise clients and lead architecture, solution development, and delivery governance for complex enterprise data warehouse and cloud data platform initiatives, particularly in telecommunications. Lead strategic pursuits and multidisciplinary teams, manage solution scope, estimates, and risks, and mentor technical leaders while promoting reusable architectures.

Requirements

Requires 10 or more years of relevant experience, a record of architecting and delivering complex enterprise data and cloud platform solutions, and strong GCP, BigQuery, SQL, and data architecture expertise. Candidates should also bring consulting and executive communication skills, experience leading technical teams and solution pursuits, and working knowledge of AI/ML and generative AI data considerations.

Skills

Enterprise Data Architecture
Data Warehousing
Data Engineering
Google Cloud Platform
BigQuery
Solution Architecture
Data Modeling
ETL/ELT
Data Integration
Data Governance
SQL
Python
Cloud Architecture
Consulting
Executive Communication
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
BigQuery
Cloud Storage
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Dataplex
Dataform
Looker
Snowflake
Databricks
Oracle
SQL Server
Teradata
Informatica
DataStage
dbt
SQL
Python
Git
CI/CD
Infrastructure As Code
ETL/ELT
Data Modeling
Data Governance
Data Quality
Streaming Data Pipelines
Telecommunications
Generative AI

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