Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

Job Title: Data Architect (For Vacant Role)

At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation.We’repassionate about technology and compelled by its potential — building digital products, experiences, and technology-driven organizations that drive true change.

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.

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

As a Data Architect at Slalom, you will work in collaborative teams to deliver cutting-edge, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies.You’llstay 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.

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

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 contemporary 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

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

Programming Languages — Python, Java (object‑oriented)

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

Hybrid/In office: In addition, there is potential for a 10% discretionary bonus based on individual and company performance. Holiday parties

Employee community groups

Social clubs & activities

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

100 cell phone monthly reimbursement

- Registered Retirement Program (RRSP) & Employer Matching
- Tax-Free Savings Account (TFSA)
- 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
- 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. 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.

📌 Data Engineer - Cabinet de conseil F/H (Toronto)
🏢 Slalom Build
📍 Toronto