Data Architect - Montreal

Slalom; Montreal (administrative region); Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation package

Cell phone reimbursement

RRSP with employer matching

TFSA

Family planning/ Fertility Benefit

Maternity/Parental Leave Top-Up

Medical & Dental Benefits

Life and AD&D Insurance

EAP and Inkblot Therapy

Job summary

Slalom is a data architecture and engineering consultancy helping clients modernize data ecosystems to enable analytics, ML, and AI. The Data Architect will design scalable, secure cloud-native data platforms, partner with engineering teams, and lead architecture efforts from discovery through implementation.

You will mentor engineers, collaborate with CoEs, and contribute to pre-sales and solution design while supporting AI-enabled data foundations at enterprise scale.

Qualifications

• 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.
• Hands-on with at least one major cloud platform (AWS, Azure, or GCP) and a desire to continue expanding across the broader cloud ecosystem.

Responsibilities

• Design cloud-native data architectures, including data lakes, lakehouses, data warehouses, and real-time data platforms.
• Translate business objectives into scalable, secure 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.
• Design and operationalize AI-ready data foundations supporting analytics, ML, and Generative AI workloads.
• Apply AI-enabled engineering practices to improve quality, productivity, and delivery outcomes.
• Facilitate architecture workshops and stakeholder alignment.
• Mentor engineers and architects to grow technical capabilities.
• Collaborate with Data Engineering teams to share best practices and advance delivery excellence.
• Support business development activities including solution design and pre-sales efforts.

Skills

Communication

Consulting

Stakeholder management

Mentoring

Continuous learning

Tools

Python

Java

SQL

APIs

CI/CD

Infrastructure as Code

Containers

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

• 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)
• 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.