Senior Principal Data Architecture & Engineering

General Information

Locations

• Toronto, CAN

Business Function

Data & analytics

Date posted

Friday, June 5, 2026

Ref #

JBR0001093

Description and Requirements

Job Description

Senior Principal, Data Architecture & Engineering (Vacant Role)

Who You'll Work With

Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. We embrace AI to scale with quality, innovate without fear, and use technology with purpose to unlock the full potential of data and create lasting impact.

We demonstrate every day that talent, creativity, and technical excellence have no borders by delivering world-class solutions that inspire people to dream big and move faster.

What You'll Do

As a Senior Principal at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies. You'll stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.

Your day-to-day will include:

• Design and evolve data architectures for client environments by assessing current‑state systems and defining scalable, future‑state solutions
• Remain hands‑on with data engineering delivery, contributing directly to building, coding, and implementing data pipelines and platforms alongside the team
• 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
• Lead, mentor and develop a high-performing team of Data Architects and Data Engineers. Coach team members through career development, feedback and stretch opportunities.

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)

• 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 $180,000 - $205,000. In addition, there is potential for a 15% 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.

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