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Added 13 mins ago
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Senior Principal, Transformation Management
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working across Transformation Architects, Cloud and AI technologists, change leaders, account teams, and client executives, you will bring the judgement, commercial perspective, and…
Added 13 mins ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…parts of the data platform, including production pipelines, transformation layers, data models, semantic layers, data quality, observability, and engineering standards. It provides…
Added 28 mins ago
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Business Intelligence (BI) Data Engineer
Semex
Guelph, ON
- Full-time
…Information Technology team. Reporting to the Data Platform Lead, this role will be responsible for designing, developing, testing and supporting Semex's modern data, analytics and business…
Added 43 mins ago
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Sales Director
Gordian
Canada
- Full-time
Oversee the entire sales process, including lead generation, territory planning, deal qualification, strategy, evaluation, closing, and account management.
Added 43 mins ago
T&
Director, Capital Investment & Decision Support
Turner & Townsend
Vancouver, BC
- Full-time
The Director, Capital Investment & Decision Support will lead and grow AMCL’s Capital Investment & Decision Support capability, working with asset-intensive organizations to improve how…
Added 43 mins ago
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Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
…where intelligent tools support better outcomes while people lead the decisions that…
Added 58 mins ago
Solution Architect
PCL Construction
Edmonton, AB
…success, and that shared commitment drives how we work, grow and lead in the construction…
Added 58 mins ago
OT
Principal Product Manager
Open Text Corporation
Waterloo, ON
- Other
…and contribute to projects that shape the future of digital…
Added 1 hour ago
EP
Accounting Manager
Elby Professional Recruitment
Kitchener, ON
- $90,000 to $110,000 CAD / year
- Contract
…also play an important role in supporting a major technology transformation project, gaining valuable exposure to process improvements and strategic financial…
Added 1 hour ago
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Amazon Connect Developer / Designer
Genpact
Toronto, ON
- Full-time
Lead AI-first transformation – Build and scale AI solutions that redefine industries
Added 1 hour ago
GL
Senior Project and Change Manager, ERP/WMS
Gay Lea Foods
Toronto, ON · Etobicoke, ON
- Full-time
Gay Lea Foods is seeking an experienced Senior Project and Change Manager to lead the delivery and organizational adoption of DairyLink, a major enterprise transformation implementing a…
Added 1 hour ago
Senior Manager, Strategic Initiatives (Underwriting/ Personal Lines)
Aviva
Markham, ON · Toronto, ON
Lead cross-functional projects and strategic initiatives that drive business performance and transformation.
Added 1 hour ago
AS
Senior Solution Architect – AWS / .NET / Angular / React
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
This opportunity offers the chance to lead the technical architecture of a high-impact public-sector platform, influence cloud technology decisions, and collaborate with experienced…
Added 1 hour ago
Consultant SAP SuccessFactors
Syntax
Montreal, QC
…d’entreprise complexes grâce à une expertise approfondie en SAP, à la transformation cloud, à l’automatisation et à l’innovation pilotée par l’IA. Dans le cadre de notre croissance…
Added 1 hour ago
HR
Life Cycle Support Analyst
Hitachi Rail
Toronto, ON
- Full-time
…of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways…
Added 1 hour ago
TE
Field Operations Maintenance Supervisor - London
TK Elevator
London, ON
- Full-time
Training and Development: Lead regular 'Toolbox Talk' meetings and training sessions to enhance staff skills, ensure safety protocol adherence, and foster industry best practices.
Added 1 hour ago
C
Product Manager - Business Platforms
CDW
Toronto, ON
- Full-time
The Product Manager – Canada is a member of the Product team within the Business Transformation group, and supports CDW Canada’s selling and services organizations. The role serves as the…
Added 1 hour ago
S
Software Engineering SMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 2 hours ago
VB
Sr Specialist - Project Estimating & Cost Control
Vale Base Metals
Toronto, ON
- Full-time
Lead the preparation, review, validation, and reconciliation of capital and operating cost estimates throughout all study phases, including PEA, PFS, and FS.
Added 2 hours ago
S
Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Lead architecture and technical design efforts from discovery through implementation.
Added 2 hours ago
SL
AVP, Emerging Risk Management & Strategic Risk Initiatives
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
Demonstrated ability to develop and execute enterprise strategies, operating models and multi-year transformation roadmaps.
Added 2 hours ago
C
Program Advisory, Consulting & Execution, Vice President-MISSISSAUGA
Citi
Mississauga, ON
- Full-time
Lead the end-to-end execution of high-impact workstreams in cross-functional programs, driving process transformation, and operational improvements across the firm.
Added 2 hours ago
C
Program Advisory, Consulting & Execution, Senior Vice President- MISSISSAUGA
Citi
Mississauga, ON
- Full-time
Lead the scoping, design, and execution of target operating model and process transformation initiatives; partner with senior business, operations, and functional leadership to establish…
Added 2 hours ago
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Senior Data Engineer (Databricks Focused)
BDO
Vancouver, BC · Mississauga, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
…using Azure and Databricks. The successful candidate will also lead client engagements, aligning data initiatives with business objectives to create real-world…
Added 2 hours ago
B
Senior Data Engineer (Databricks Focused)
BDO
Calgary, AB · AB · Winnipeg, MB · Halifax, NS · Montreal, QC
- Full-time
…using Azure and Databricks. The successful candidate will also lead client engagements, aligning data initiatives with business objectives to create real-world…

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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