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Added 1 month ago
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
Since launching in 2014, Spring has grown into one of Canada’s largest fintechs, with over 250,000+ product originations across credit-building products, personal lending, and mortgage…
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
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…
Added 1 month ago
P
Data Science Intern
Pason
Calgary, AB
- Full-time
…machine learning, and control loop algorithms. You will work with a talented group of algorithm and control system designers in an applied research…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
…emissions, support electrification, and enhance grid efficiency. With over 20 years of expertise, we’re trusted by North America’s largest energy users, power producers, and…
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
…team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to…
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
…AI systems, where machine learning models directly interact with and control real-world machines operating in complex outdoor…
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
We're looking for a Senior Software Developer to shape the technical direction of the tools at the core of our energy and emissions work - including the AI-driven features we think will set…
Added 1 month ago
E
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s…
Added 1 month ago
Ads Threat Intelligence
Google
Waterloo, ON
Experience with programming languages such as Python, Go, C++, or Java.
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 1 month ago
B
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $240,000 to $285,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 months ago
R
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be…
Added 2 months ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be…
Added 1 month ago
C
Specialist Software Cloud Developer
CPKC
Calgary, AB
- Full-time
…and maintains enterprise data integration solutions, working with diverse data sources including Oracle, SQL Server, SAP, SAP BW, Snowflake and other enterprise systems across on-premises…
Added 1 month ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), ML model…
Added 1 month ago
LI
Data Engineer
Loopio Inc.
Remote, Canada
- $103,500 to $140,000 CAD / year
- Full-time
- Remote
Take your career to new heights with Loopio! 🚀✨
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
Strong proficiency in Python and experience building APIs/services (e.g., REST/gRPC) and integrating with enterprise systems.
Added 1 month ago
W
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
- $241,000 to $320,000 USD / year
- Full-time
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
Added 1 month ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Stay current with emerging DevOps, AI/ML, and cloud technologies to continuously improve processes.
Added 1 month ago
LH
Principal Product Applications Engineer
LeadingEdge HR Solutions
Ottawa, ON
- Full-time
…technical expert for Scorpio Smart Fabric Switches, working with hyperscalers, AI system builders, ODMs, and technology partners from initial architecture and evaluation through production…
Added 1 month ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
…of the world's most trusted brands make confident decisions with data they can rely on. We're an AI-first organization, which means artificial intelligence isn't a buzzword here - it's…
Added 1 month ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
2027 Graduate Program, Technology Services - Product and Initiative Management
Bell
Montreal, QC · Verdun, QC
Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles,…
Added 1 month ago
2027 Graduate Program, Technology Services - Emerging AI and Data Solutions
Bell
Montreal, QC · Verdun, QC
Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles,…

Slalom

Data Architect - Montreal

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 8+ years of experience in data engineering, data architecture, or related technical disciplines.
Posting language: English
Posted: Sep 21, 2026

Original job description

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.

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Job Title: Data Architect

Who You'll Work With

Our Data Architecture & Engineering teams helps organizations modernize their data ecosystems and build the foundations required for analytics, machine learning, artificial intelligence, and Generative AI. We partner with clients to design scalable, secure, cloud-native data platforms that enable better decision-making, operational efficiency, and innovation.

Slalom maintains strategic partnerships and deep expertise across the leading cloud and data platforms, including AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake. Our Data Engineering teams regularly work across multiple technologies, and we also have Centers of Excellence dedicated to each of these platforms. While expertise across all platforms is not required, your experience, interests, and strengths will help determine which team and opportunities are the best fit for you.

What You'll Do

As a Data Architect, you will help clients design and deliver modern, scalable data platforms that enable analytics, AI, machine learning, and Generative AI solutions. Working closely with client stakeholders, engineers, and Slalom teams, you will guide architecture decisions while remaining connected to delivery and implementation.

You will:

Design and evolve cloud-native data architectures, including data lakes, lakehouses, data warehouses, and real-time data platforms.
Translate business objectives into scalable, secure, and maintainable data solutions.
Lead architecture and technical design efforts from discovery through implementation.
Partner with engineering teams to deliver modern data platforms across AWS, Azure, GCP, Databricks, Snowflake, and related technologies.
Design and operationalize AI-ready data foundations that support analytics, machine learning, Generative AI, and agentic AI workloads.
Apply AI-enabled engineering practices to improve quality, productivity, and delivery outcomes.
Facilitate architecture workshops, technical discovery sessions, and stakeholder alignment.
Mentor engineers and architects, helping grow technical capabilities and foster a culture of learning and innovation.
Collaborate with Slalom's Data Engineering teams and platform Centers of Excellence to share best practices and advance delivery excellence.
Support business development activities, including solution design, client conversations, and technical pre-sales efforts.

What You'll Bring

You are a collaborative architect who enjoys solving complex business challenges through modern data and AI solutions. You combine strong technical expertise with the ability to communicate effectively across stakeholders, helping organizations transform data into business value.

Required Experience

8+ years of experience in data engineering, data architecture, or related technical disciplines.
Experience designing and implementing enterprise-scale cloud data platforms and modern data architectures.
Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and data governance concepts.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and a desire to continue expanding your expertise across the broader cloud ecosystem.
Experience leading architecture efforts from discovery through implementation while remaining engaged in delivery.
Strong communication, consulting, and stakeholder management skills.
Passion for mentoring others, continuous learning, and emerging technologies.

Technical Experience

We recognize that great architects develop expertise in different technology ecosystems. We do not expect candidates to have deep experience in every platform we support.

Experience in many of the following areas is preferred:

Cloud platforms and modern data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, and related services.
Data engineering and analytics technologies, including distributed processing, batch and streaming architectures, data integration, orchestration, and modern data platform design.
Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
Data management disciplines including data modeling, governance, metadata, quality, security, and platform operations.
AI, machine learning, and Generative AI solutions, including AI-enabled engineering practices, MLOps, retrieval-augmented generation (RAG), vector technologies, and agentic AI architectures.
Designing, building, and operationalizing data platforms that support analytics, AI, ML, and Generative AI workloads at enterprise scale.

Nice to Have

Cloud, Databricks, Snowflake, or platform-specific certifications.
Experience with multi-cloud environments and data platform modernization initiatives.
Experience supporting AI transformation, data strategy, or technical pre-sales activities.

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

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.

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

Apply About employer

More about this job

Responsibilities

Design and evolve scalable, cloud-native data architectures that support analytics, machine learning, and Generative AI solutions. Lead technical design efforts from discovery through implementation while mentoring engineering teams and supporting business development.

Requirements

Requires 8+ years of experience in data engineering or architecture with hands-on expertise in at least one major cloud platform. Candidates must possess strong communication skills and a deep understanding of modern data ecosystems including data lakes, warehouses, and streaming architectures.

Skills

Data architecture
Cloud-native data platforms
Data engineering
AWS
Azure
Google Cloud Platform
Databricks
Snowflake
Data modeling
Data governance
Machine learning
Generative AI
Python
SQL
CI/CD
Infrastructure as Code

Benefits

Health and wellness activities
Vacation
Wellness/sick days
Employer matching
Tax-Free Savings Account (TFSA)
Annual Thrive Well-Being Gift Card
Family planning/Fertility benefit
Maternity/Parental leave top-up
Medical and dental benefits
Life and AD&D insurance
Employee Assistance Program (EAP)
Inkblot therapy

Visa sponsorship

Not detected in the job text

Keywords

Data Architect
Cloud-native
Data Lakes
Lakehouses
Data Warehouses
Streaming Architectures
AWS
Azure
GCP
Databricks
Snowflake
Python
Java
SQL
APIs
CI/CD
Infrastructure as Code
Containers
Data Modeling
Data Governance
Metadata
MLOps
Retrieval-Augmented Generation
Vector Technologies
Agentic AI
Consulting
Enterprise-scale
Data Strategy
Pre-sales
Modernization

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