Job Type: Permanent
Work Model: Hybrid
Reference code: 133548
Primary Location: Toronto, ON
All 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.
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Have many careers in one Firm.
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Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
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Learn from deep subject matter experts through mentoring and on the job coaching
As a Data & AI Platform Engineer on the AI & Data Transformation team, you will operate at the core of modern data and AI ecosystem designing, building, and scaling cloud-native platforms that enable advanced analytics and agentic AI capabilities.
Your day could include:
- Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
- Modernizing legacy data environments, migrating workloads from platforms such as SAS 9, DataStage, Informatica, and Cognos to modern architectures like Databricks, Snowflake, SAS Viya, and cloud-native services.
- Implementing/building transformative use cases on modern data platforms, enabling advanced analytics, machine learning, and AI-driven decisioning.
- Designing and developing agentic AI solutions, including developing AI agents that interact with enterprise data platforms to automate workflows, orchestration, and data-driven decision-making.
- Leveraging agentic AI to accelerate the software development lifecycle (SDLC), including code generation, automated testing, documentation, data pipeline development, and platform operations through intelligent agents and copilots.
- Implementing and managing cloud infrastructure, including platform administration, performance optimization, cost management, and security across Azure, AWS, and hybrid environments.
- Designing scalable data pipelines and orchestration frameworks, leveraging modern patterns such as ETL/ELT, streaming, and event-driven architectures.
- Collaborating with cross-functional teams, including AI engineers, data scientists, architects, and business stakeholders to deliver end-to-end data and AI platform solutions.
- Driving platform best practices and governance, including data quality, lineage, observability, and reliability to support enterprise-scale AI adoption.
You will thrive in this role if you enjoy solving complex engineering problems, are passionate about modern data technologies, and bring a strong perspective on how data platforms enable scalable AI—especially in the context of emerging agentic architectures.
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.
You are a hands-on engineer with strong technical depth in data platforms and cloud ecosystems, combined with a forward-looking perspective on AI. For this role, you bring:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Minimum of 3+ years of relevant experience in data engineering, data platforms, or cloud-based data/AI solutions.
- Strong experience designing, building, and operating modern data platforms in cloud environments (Azure, AWS, Snowflake, Databricks).
- Experience modernizing data platforms from sources such as DataStage, Informatica, Cognos, and SAS 9 to targets such as Databricks, Snowflake, Azure, AWS, and/or SAS Viya.
- Experience rapidly learning & leveraging & adapting to new programming languages or frameworks on the fly.
- Relevant certifications in Databricks, Snowflake, Azure, AWS, and/or SAS (e.g., Azure Data Engineer, AWS Data Analytics, Snowflake SnowPro, Databricks certifications).
- Strong understanding of data engineering patterns, including ETL/ELT, data modeling, orchestration, streaming, and performance optimization.
- Experience delivering transformative data and AI use cases, including advanced analytics, ML pipelines, and/or AI-enabled applications on modern data platforms.
- Experience leveraging agentic AI and copilots to accelerate SDLC, including automated code generation, testing, documentation, and data pipeline development.
- Strong understanding of cloud platform administration, including security, identity & access management, networking, reliability, and cost optimization.
- Experience working in cross-functional, agile teams and delivering production-grade solutions.
- Bilingual proficiency in French and English (written and spoken), with the ability to work effectively in client-facing environments across Canada.
- Strong problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
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.
The salary range for this position is $58,000 - $102,000, 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.
