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Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Regina, SK
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Saint John, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Regina, SK
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Fredericton, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Kitchener, ON
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saint John, NB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Victoria, BC
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saskatoon, SK
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Senior Program Manager, Fraud Intelligence Solution
RBC
Mississauga, ON
Full-time
Snowflake, dbt, graph data platforms, or document AI.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
St. John's, NL · Greater St. John's Metropolitan Area
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Burlington, ON
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Moncton, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Moncton, NB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Winnipeg, MB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Vancouver, BC
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Halifax, NS
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 2 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Winnipeg, MB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 2 days ago
Director, Architect - Investment Management/Fund Services
IG Wealth Management
ON · Ontario, Canada
Full-time
Advanced knowledge of enterprise data architecture, including relational databases (SQL Server, Oracle) and cloud data platforms like Google BigQuery or Snowflake.
Added 2 days ago
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Halifax, NS
Full-time
Added 9 days ago
AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
Full-time
Data Background: High-level understanding of Data Warehouses (Snowflake, Redshift) and Data Lakes to understand data lineage and retrieval strategies. This helps when working with our Data…
Added 3 days ago
Senior BSA / Data Migration Specialist
J&M Group
Toronto, ON
Contract
…Salesforce and surrounding eco system including DataStage, Snowflake, Tableau and any legacy applications The ideal candidate will have strong business-facing skills combined with hands-on…
Added 23 days ago
Director, Architect - Investment Management/Fund Services
IG Wealth Management
MB · Manitoba, Canada
Full-time
Advanced knowledge of enterprise data architecture, including relational databases (SQL Server, Oracle) and cloud data platforms like Google BigQuery or Snowflake.
Added 28 days ago
Senior Data Engineer, Temporary
Aviso
Vancouver, BC
Temporary
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 3 days ago
Software Engineering Team Lead
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
Full-time
Datastores: PostgreSQL and DynamoDB. Snowflake for analytical workloads. Familiarity with MongoDB and vector stores such as Pinecone is an asset.
Added 3 days ago
Senior Analytics Developer
CNN
Ottawa, ON · Kanata, ON
Full-time
CNN is seeking a Sr. Analytics Developer with subject matter expertise in analytic workstreams and data analysis. You have demonstrated a pattern of independently shipping analytical…

Deloitte

Data Platform DevOps Engineer - Senior Consultant

Saskatoon, SK, Canada

Job type: Full-time
Apply by: Oct 18, 2026
Experience: Minimum of 5+ years of experience in platform engineering, cloud engineering, DevOps, or SRE roles.
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Type: PermanentWork Model: HybridReference code: 133554Primary Location: Montreal, QCAll Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

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

--

As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable enterprise data, analytics, and agentic AI workloads. You focus on platform engineering, automation, and reliability, ensuring that data platforms are production-grade, governed, and optimized for performance and cost.

What will your typical day look like?

Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Engineer platform infrastructure using Infrastructure as Code (IaC) tools such as Terraform, enabling repeatable and scalable deployments.
Build and manage CI/CD pipelines to automate platform provisioning, testing, releases, and upgrades using tools like Azure DevOps, GitHub Actions, or Jenkins.
Deploy, manage, and scale Kubernetes-based environments to support distributed data and AI workloads.
Define and implement Policy as Code frameworks to enforce governance, compliance, and security standards across environments.
Design and implement secure cloud architectures, including IAM, networking, encryption, secrets management, and data access controls.
Develop high availability and disaster recovery strategies, including multi-region deployments, failover mechanisms, and backup strategies.
Optimize platform performance, scalability, and cost efficiency through monitoring, tuning, and right-sizing strategies.
Implement observability frameworks (logging, monitoring, alerting) using tools such as Prometheus, Grafana, Azure Monitor, or Datadog.
Operate and maintain production platforms, including upgrades, patching, incident response, and root cause analysis.
Apply Site Reliability Engineering (SRE) principles, including SLO/SLI definition, error budgets, automation, and reliability improvements.
Collaborate with data engineers, AI engineers, architects, and business stakeholders to ensure platforms meet enterprise needs.
Support agentic AI and advanced analytics workloads by enabling scalable, secure, and performant infrastructure foundations.
Drive platform engineering best practices, including automation, standardization, and reusable deployment patterns.

About The Team

AI & Data is one of Deloitte Canada’s fastest-growing practices, with 300+ professionals across Toronto, Montreal, Vancouver, Ottawa, and Calgary. Our multidisciplinary team brings together engineers, architects, data scientists, and strategists to build modern data platforms and AI solutions that deliver measurable, real-world impact.

Enough About Us, Let’s Talk About You

You will thrive in this role if:

You enjoy building and operating large-scale distributed systems, are passionate about automation and cloud-native engineering, and bring a strong mindset around reliability, security, and governance. You are curious about how platforms enable data and AI innovation - including emerging agentic AI architectures - and are motivated to continuously improve engineering practices.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Minimum of 5+ years of experience in platform engineering, cloud engineering, DevOps, or SRE roles.
Strong experience deploying and operating data platforms such as Snowflake, Databricks, and/or SAS Viya.
Deep expertise in Infrastructure as Code (Terraform preferred) and automated provisioning.
Experience with containerization and orchestration technologies (Docker, Kubernetes).
Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and DevOps practices.
Strong understanding of cloud platforms (Azure, AWS), including networking, IAM, storage, and security services.
Experience implementing Policy as Code, governance frameworks, and compliance standards.
Experience designing for high availability, resilience, disaster recovery, and fault tolerance.
Strong knowledge of observability practices, including logging, monitoring, and alerting frameworks.
Experience with performance tuning, scalability optimization, and cost management in cloud environments.
Strong system engineering and troubleshooting skills across distributed systems.
Experience working in agile, cross-functional teams delivering production-grade platforms.
Bilingual proficiency in French and English (written and spoken).
Relevant certifications (Azure, AWS, Kubernetes, Terraform, Snowflake, Databricks) are considered an asset.

Bilingualism in French and English is required for this position due to the nature of the role having interactions with National & Global clients and project teams.

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 [email protected] if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or [email protected] 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

The role involves designing, deploying, and operating scalable, secure, and reliable data and AI platforms across cloud and hybrid environments. You will focus on platform engineering, automation, and reliability while collaborating with cross-functional teams to support enterprise data and agentic AI workloads.

Requirements

Candidates must have a Bachelor’s or Master’s degree in a technical field and at least 5 years of experience in platform engineering, cloud engineering, or DevOps. Proficiency in Infrastructure as Code, containerization, CI/CD tools, and bilingualism in French and English are required.

Skills

Platform engineering
DevOps
Infrastructure as Code
Terraform
Snowflake
Databricks
SAS Viya
Kubernetes
CI/CD
Azure DevOps
GitHub Actions
Cloud architecture
Site Reliability Engineering
Observability
Policy as Code
Bilingualism

Benefits

Mental health support benefits
Flexible benefit spending account
Deloitte Days
Development and Innovation Days
Flexible work arrangements
Bonus program

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
DevOps
SRE
Cloud Engineering
Snowflake
Databricks
SAS Viya
Terraform
Kubernetes
Azure
AWS
CI/CD
Azure DevOps
GitHub Actions
Jenkins
Infrastructure as Code
Policy as Code
Observability
Prometheus
Grafana
Datadog
Agentic AI
Automation
High Availability
Disaster Recovery
IAM
Networking
Agile
Consulting
Bilingual

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