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Date: Jan 20, 2026

Job Type: Permanent
Work Model: Hybrid
Reference code: 131879
Primary Location: Calgary, AB
All Available Locations: Calgary, AB

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.

We are seeking an experienced Data Engineer with deep expertise in AWS cloud data services and/or Snowflake to lead a high‑performing engineering team. In this role, you will oversee the design, development, and optimization of scalable, secure, and resilient data platforms and pipelines. You will guide technical strategy, ensure engineering excellence, and partner with analytics, product, and business teams to drive enterprise‑wide data enablement. This role is ideal for a hands‑on Senior Consultant who combines strong technical capabilities with strategic thinking, and a passion for building modern data ecosystems.

• Define the data engineering roadmap aligned to business priorities, cloud strategy, and enterprise architecture standards.
• Establish best practices, coding standards, and governance frameworks for data engineering across AWS and Snowflake ecosystems.
• Architect and oversee the development of scalable data pipelines leveraging AWS services (e.g., Glue, Lambda, S3, Step Functions, Redshift) and/or Snowflake.
• Direct the design and implementation of robust ETL/ELT frameworks with a strong focus on performance, security, and maintainability.
• Ensure enterprise‑wide data integration across internal and external systems, enabling high‑quality, trusted data flows.
• Support the implementation of automated data quality, data profiling, and data validation frameworks.
• Champion automation to improve reliability, reduce operational overhead, and eliminate manual data‑processing steps.
• Oversee the development of cleansing, transformation, and enrichment strategies using SQL, Python, and other relevant tools.
• Drive continuous optimization of data pipelines for cost efficiency, performance, and reliability.
• Establish monitoring, alerting, and incident management processes.
• Maintain clear documentation for architecture, workflows, pipelines, and operational procedures.
• Partner with business stakeholders, analytics teams, and data governance groups to understand requirements and deliver scalable solutions.
• Communicate progress, risks, and technical decisions to leadership and cross‑functional partners.

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.

Be yourself, and more.

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

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).

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.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 3+ years of hands‑on experience in data engineering, including ETL/ELT development and cloud data platforms.
• Strong expertise in AWS data services (e.g., Glue, Lambda, EMR, Step Functions, S3).
• Proven experience designing, implementing, and optimizing solutions in Snowflake (warehousing, performance tuning, cost management, security).
• Advanced proficiency in SQL and scripting languages (Python preferred).
• Solid understanding of modern data architecture practices: data lakes, lakehouses, orchestration, CI/CD, and metadata management.
• Experience with data integration, data quality, and data observability frameworks.
• Excellent communication and problem solving skills.

• Experience with big data technologies (Spark, Hadoop, EMR, Databricks).
• Knowledge of data governance, data lineage, and data security frameworks.
• Familiarity with modern orchestration tools (Airflow, dbt, Dagster).
• AWS or Snowflake certifications (Data Engineer, Solutions Architect, SnowPro).

The salary range for this position is $72,000 - $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.

Deloitte is where potential comes to life.

Be yourself, and more.