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Added 1 hour ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB,…
Added 2 hours 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 2 hours ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Expert-level Python, writing production-grade ML code rather than notebooks handed off for deployment.
Added 5 hours ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 6 hours ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never…
Added 7 hours ago
Senior Product Security Engineer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Security Engineer based in Canada
Added 7 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 8 hours ago
Staff Verification Engineer, Compute Subsystems
Qualcomm
Markham, ON
Full-time
Are you a creative engineer looking for challenges?
Added 8 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 8 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 8 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 10 hours ago
System Engineer
Vertage Global
ON · Ontario, Canada
Contract
Hiring: AI/ML Systems Engineer – Vehicle Diagnostics & Observability
Added 11 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 11 hours 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 11 hours ago
AI Engineer
Tiger Analytics
Toronto, ON
Full-time
…partnerships with leading hyperscalers enable Tiger Analytics to engineer cutting-edge Data & AI solutions that move beyond standard playbooks. With a team of over 5000 technologists and…
Added 12 hours ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
seeking a Systems Engineer to support its AI-powered End-to-End Software Diagnostics & Observability initiative for next-generation software-defined vehicles. This role will help define,…
Added 12 hours ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 12 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 12 hours ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 13 hours 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 13 hours 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 14 hours 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 14 hours ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Added 15 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 17 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
Boeing Vancouver is seeking a Senior DevOps Engineer, reporting to the Manager of Defence & Government Services working out of the Richmond, BC office.

Deloitte

Senior Consultant - GCP Data & AI Architect

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Posting language: English
Posted: Sep 25, 2026

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Applications open in a new tab.

Original job description

Job Type: PermanentWork Model: HybridReference code: 135133Primary Location: Toronto, ONAll Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

Have many careers in one Firm.
Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
Learn from deep subject matter experts through mentoring and on the job coaching

--

What will your typical day look like?

As our ideal candidate, you will combine deep GCP technical expertise with client-facing consulting skills. On a typical engagement you will:

Architect and lead delivery of modern data platforms on Google Cloud - data lakes, lakehouses, and warehouses built on BigQuery, Dataproc, Dataflow, Cloud Storage, and Pub/Sub.
Design ingestion, transformation, and serving layers using Dataform / dbt, Composer (Airflow), and BigQuery-native patterns; drive migrations from Teradata, Netezza, on-prem Hadoop, or other clouds.
Stand up the governance backbone - Dataplex catalog, lineage, quality rules, row/column-level security, VPC-SC - so downstream analytics and AI workloads are safe and auditable.
Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on.
Lead 2–4 engineers on the delivery team; contribute to Deloitte's data-platform reference architectures, accelerators, and enablement.

About The Team

The focus and passion of Deloitte's Cloud Engineering practice is to help our clients become a place where their employees are passionate about the work they do, and can dramatically accelerate the speed at which they deliver value. We are a specialized capability within our technology consulting practice in Canada, focused on the technical, organizational, and cultural elements that must be considered when helping our clients embrace the Cloud mindset. With an established foothold in the Cloud domain, we are excited to be growing our Google Cloud footprint - including Gemini Enterprise agentic solutions - to continue to enable our clients. Our key clients span industries including financial services, energy and resources, consumer and retail, digital-native, and public sector.

Enough About Us, Let’s Talk About You

This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams and mentor 2–4 junior team members while working under the direction of a Manager or Senior Manager.

Qualifications

7–10 years total technology experience; 4–6 years hands-on delivering data platforms on Google Cloud.
Working knowledge of Gemini Enterprise and the Vertex AI stack - Vertex AI Search, embeddings and vector indices, grounding on BigQuery / Cloud Storage - and a clear point of view on how to expose enterprise data to agents safely.
Understanding of the data-foundation prerequisites for agentic AI: canonical semantic layer, entity resolution, metadata and lineage, row/column-level access controls that carry through to agent-time retrieval.
Deep hands-on with BigQuery (partitioning, clustering, materialized views, BI Engine, cost governance), Dataproc, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub.
Experience with transformation and orchestration tooling: Dataform, dbt, Cloud Composer / Airflow.
Strong data-modeling skills - dimensional, Data Vault, and modern lakehouse patterns; comfortable choosing between them for the client's use case.
Governance and security fluency: Dataplex, IAM, VPC-SC, CMEK, DLP, row/column access policies.
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Track record of leading a data workstream through discovery, design, build, and hypercare on at least two enterprise engagements.
Strong client-facing communication and stakeholder management.

Good to have

GCP certification (Professional Data Engineer or Professional Cloud Architect).
Experience with streaming architectures (Pub/Sub + Dataflow, Kafka on GKE).
Exposure to real-time features for ML and agentic use cases.
Familiarity with Databricks-on-GCP or Snowflake-on-GCP interop scenarios.
Prior professional-services or regulated-industry (financial services, public sector, healthcare) experience.
Security Clearance (Reliability / Secret)

Language requirement (Montreal)

For candidates based in Montreal: proficiency in French (spoken and written) is required, in addition to English, to serve our Quebec-based clients and colleagues in accordance with Bill 96.

Total Rewards

The salary range for this position is $80,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You Shape How We Make Impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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More about this job

Responsibilities

Architect and lead delivery of Google Cloud data platforms, including data lakes, lakehouses, warehouses, ingestion and transformation pipelines, and migrations from legacy or other-cloud systems. Establish governance and security foundations for analytics and AI, support agentic AI data capabilities, lead a small engineering team, and contribute to reference architectures and accelerators.

Requirements

Requires 7–10 years of technology experience, including 4–6 years delivering data platforms on Google Cloud or a credible path to transition to GCP, along with strong hands-on skills in data engineering, modeling, governance, security, SQL, and Python. Candidates should have led enterprise data workstreams, communicate effectively with clients, and mentor junior team members; GCP certification and experience in streaming, regulated industries, or professional services are advantageous.

Skills

Google Cloud Platform
BigQuery
Dataproc
Dataflow
Cloud Storage
Pub/Sub
Dataform
dbt
Cloud Composer
Vertex AI
Gemini Enterprise
Data Architecture
Data Modeling
Data Governance
SQL
Python

Benefits

Mental Health Support Benefits
Flexible Benefit Spending Account
Paid Vacation
Firm-Wide Days Off
Learning and Development Days
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
BigQuery
Dataproc
Dataflow
Apache Beam
Cloud Storage
Pub/Sub
Dataform
dbt
Cloud Composer
Apache Airflow
Dataplex
Vertex AI
Gemini Enterprise
Vertex AI Search
Terraform
SQL
Python
Data Lakes
Lakehouses
Data Warehouses
Data Modeling
Data Governance
Data Security
VPC Service Controls
Data Vault
Streaming Architectures
Professional Data Engineer
Professional Cloud Architect
Agentic AI

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