Data Architect - Canada Region

Balance architectural ownership with execution , guiding technical direction while actively participating in day‑to‑day engineering work

Collaborate closely with clients to understand requirements, constraints, and technical environments , translating business needs into effective data engineering and architecture solutions

Lead and contribute to solution design and technical discovery , including early‑stage conversations and, where applicable, pre‑sales or proposal support

Build and design solutions on modern cloud data platforms , working with cloud providers, data warehousing technologies, and distributed processing frameworks

Focus on data engineering and data architecture outcomes , with minimal emphasis on BI or data visualization work

Apply and explore AI‑accelerated data engineering approaches , including the use of generative or AI‑enabled tools to improve speed, quality, and scalability of engineering and architecture tasks

Adapt to project needs by starting engagements in an engineering capacity and progressively taking on deeper architectural ownership as solutions and teams mature

What You’ll Bring

Strong experience as a hands‑on data engineer , with the ability to design, build, and maintain production‑grade data solutions while contributing directly to delivery

Demonstrated experience in data architecture , including assessing existing client environments, designing scalable data platforms, and guiding technical decisions from design through implementation

Experience working with modern cloud data ecosystems , including at least one major cloud provider (AWS, Azure, or GCP), and familiarity with data warehousing and distributed data processing technologies

Ability to operate comfortably in client‑facing environments , translating business and technical requirements into clear, practical data architecture and engineering solutions

Experience balancing architectural leadership with execution , remaining actively involved in engineering work rather than operating as a purely conceptual or oversight role

Exposure to AI‑accelerated data engineering , including the use of generative or AI‑enabled tools to improve the speed, quality, and effectiveness of data architecture and engineering tasks

Flexibility to start engagements in an engineering capacity and evolve into deeper architectural ownership as project needs and solution maturity require

Experience in most, but not all, of the following is expected:

Cloud Platforms & Warehouses — Amazon Redshift, Snowflake, Google BigQuery , Azure Synapse Analytics, Amazon EMR

Big Data & Streaming — Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka

Workflow & Orchestration — Apache Airflow, dbt , Dagster , Azure Data Factory

Databases, Containers & ML — DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio

Programming Languages — Python, Java (object-oriented)

Lead, mentor and develop high-performing Data Architects and Data Engineers

Strong communication skills, with the ability to collaborate effectively with engineers, architects, and client stakeholders across discovery, delivery, and solution design phases

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements

Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $100,000 to $132,000. In addition, there is potential for a 10% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.

Slalom Employee Perks:

Culture & fun!

Lunch & learns

Health & wellness activities

Holiday parties

Employee community groups

Social clubs & activities

Vacation (20 days prorated based on start date & wellness/sick days)

Tangible perks

Competitive compensation package

$100 cell phone monthly reimbursement

Registered Retirement Program (RRSP) & Employer Matching

Tax-Free Savings Account (TFSA)

Annual “Thrive Well-Being” Gift Card

Family planning/ Fertility Benefit

Maternity/Parental Leave Top-Up

Medical & Dental Benefits

Life and AD&D Insurance

Access to Supplementary Life and AD&D Insurance

Access to the Employee Assistance Program (EAP) and Inkblot Therapy

And more!

*All benefits are subject to eligibility requirements

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here.

Please note if you are hired at Slalom you will be required to complete a background check.