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Added 10 mins ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…Enterprise Agent Platform), ensuring secure, uninterrupted developer access to AI coding assistants (such as Claude Code, Gemini Code Assist, and Claude Sonnet/Opus models), and…
Added 2 hours ago
Data Architect - Montreal
Slalom
Montreal, QC
Full-time
AI, machine learning, and Generative AI solutions, including AI-enabled engineering practices, MLOps, retrieval-augmented generation (RAG), vector technologies, and agentic AI architectures.
Added 4 hours ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
Exposure to AI agents, machine learning pipelines, and MLOps practices considered an asset.
Added 5 hours ago
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Added 7 hours ago
Lead Platform Engineer (DevOps & MLOps)
Shore Consulting
Toronto, ON
Full-time
Partner with Product Engineering and QA to improve test reliability, deployment quality, and developer experience.
Added 7 hours ago
Generative AI Cloud Operations Engineer - Evinova
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Mississauga, ON
Full-time
Added 7 hours ago
Sr. AI Engineer
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Familiarity with MLOps, CI/CD, and responsible AI practices.
Added 9 hours ago
Manager, Software Engineering
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Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 9 hours ago
Manager, Software Engineering
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Familiarity with AI/ML solutions and modern MLOps or software delivery practices.
Added 11 hours ago
ML/AI Engineer
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Added 11 hours ago
Head Of Data Science & Credit Risk
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MLOps: Establish strong practices for experimentation, model versioning, deployment, monitoring, and production lifecycle management.
Added 16 hours ago
AI Architect, Manager
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Toronto, ON
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Added 1 day ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
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Primary Focus: Machine Learning Engineering, MLOps & Production AI Solutions
Added 1 day ago
AI Platform Engineer (35577)
Myticas Consulting
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Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices.
Added 2 days ago
Apps Dev Tech Sr Lead Analyst
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Added 7 days ago
Data Scientist
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Toronto, ON · Scotiabank Arena
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Added 3 days ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Added 3 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systems
Added 3 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
Full-time
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 2 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 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 3 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
Engineer for production across the full SDLC (build → test → deploy → monitor → iterate). Implement MLOps/GenAIOps practices (CI/CD, reproducibility, environment parity, model/prompt/agent…
Added 3 days ago
AI Platform Engineer with DevOps
Apptoza Inc.
Halifax, NS
Contract
· Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
Added 3 days ago
Machine Learning Engineer
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Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
Implement MLOps practices, including experiment tracking, model versioning, CI/CD, automated retraining, and model monitoring.

Slalom

Data Architect - Montreal

Montreal, QC, Canada

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

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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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