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Slalom

Data Architect - Canada Region

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

For this position, the expected base salary pay range is $100,000 to $132,000. · Full-time

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Job details

Pay: For this position, the expected base salary pay range is $100,000 to $132,000.
Job type: Full-time
Apply by: Dec 3, 2026
Experience: 8+ years of experience in data engineering, data architecture, or related technical disciplines.
Posting language: English
Posted: Nov 3, 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 (For Vacant Role)

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 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.

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More about this job

Responsibilities

Design and lead the delivery of scalable, secure cloud data architectures that support analytics, machine learning, and AI workloads. Work with clients and engineering teams on technical decisions, stakeholder alignment, mentoring, best practices, and solution design for business development.

Requirements

Requires at least 8 years of experience in data engineering, data architecture, or a related technical discipline, including enterprise-scale cloud data platform design and implementation. Candidates should have hands-on experience with at least one major cloud platform, strong architecture and stakeholder skills, and familiarity with modern data architectures and governance.

Skills

Data Architecture
Cloud Data Platforms
Data Engineering
Data Lakes And Lakehouses
Data Warehousing
Streaming Architectures
Data Governance
AWS
Microsoft Azure
Google Cloud Platform
Databricks
Snowflake
Python
Java
SQL
Generative AI

Benefits

Lunch And Learns
Health And Wellness Activities
Holiday Parties
Employee Community Groups
Social Clubs And Activities
20 Days Of Vacation
Wellness And Sick Days
Competitive Compensation
Monthly Cell Phone Reimbursement
Registered Retirement Savings Plan (RRSP) With Employer Matching
Tax-Free Savings Account (TFSA)
Annual Well-Being Gift Card
Family Planning And Fertility Benefit
Maternity And Parental Leave Top-Up
Medical And Dental Benefits
Life And Accidental Death And Dismemberment Insurance
Supplementary Life And Accidental Death And Dismemberment Insurance
Employee Assistance Program
Therapy Access

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Engineering
Cloud-Native Data Platforms
AWS
Microsoft Azure
Google Cloud Platform
Databricks
Snowflake
Data Lakes
Lakehouses
Data Warehouses
Streaming Architectures
Data Governance
Distributed Processing
Batch Processing
Data Integration
Orchestration
Python
Java
SQL
APIs
CI/CD
Infrastructure As Code
Containers
Data Modeling
Metadata
Data Quality
Machine Learning
Generative AI
MLOps

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