About Infostrux:
Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier—a reflection of our deep expertise and impact.

We help organizations unlock the value of their data by building modern, cloud-native platforms that power analytics, AI, and machine learning. Our work spans the modern data stack—covering data engineering, architecture, integration, and modelling—with Snowflake as one of our core partners.

From startups to Fortune 500s across industries like finance, health, gaming, and retail, we design and deliver scalable data solutions that enable faster, smarter, data-driven decisions.

As a proudly certified Great Place to Work for 2026‑2027, we are equally committed to fostering a culture of trust, collaboration, and growth for our people.

Job Summary:
Are you ready to break boundaries in the data world and work with innovative clients?

Data Architect you are ready to drive data architecture through leadership and astound the world of data through your skills. You love to continuously research and learn new technologies like DBT, bringing growth expertise to everything you do.

You will be a member of an Agile data engineering Pod consisting of open-minded and highly skilled individuals that design and continuously deliver a wide range of data analytics services for both clients and business partners.

You are looking to change the world and advance Data Architecture in a data-driven world through automated data solutions in the Snowflake Data Cloud and other public clouds. We do that through dedicated time to our internal practice.

This is a hybrid role based in downtown Toronto, requiring 3 days of onsite collaboration per week with flexibility for remote work for the remainder of your schedule.

What you’ll get to do

Interact with technical as well as purely business-oriented clients: analyze customer data requirements and present proposed solutions, communicate data-related aspects of delivery

Create data architectures and designs that best fulfil customer requirements

Lead the implementation efforts and deliver exceptionally on every client engagement

Oversee data engineers and guarantee the quality of the delivered solutions from the data architecture point of view





Suggest reusable patterns and process improvements to be implemented across the whole organization

Follow the trends and newest technologies in data architecture and data methodologies and bring them to practice where appropriate

Plan tasks for self and others

Participate in leading engagements

Mentor other engineers

What you’ll bring

Passion for data and engineering excellence

Experience with formal (traditional, up-to-date) and less formal data architectures, methodologies, designs and processes

Intermediate technical leadership experience in (ideally multiple simultaneous) technical projects consisting of 4+ people.

Senior hands‑on experience building data solutions using a variety of traditional and big data technologies

Intermediate hands‑on experience building data solutions in AWS, Azure and/or GCP

Software engineering experience

Growth expertise: a drive to continuously develop your own skills and those of the people around you

French is an asset

Must-haves

Deep, hands‑on Snowflake Data Cloud experience — you've architected and delivered production solutions on Snowflake, not just used it peripherally

Strong dbt expertise — you've designed, built, and maintained dbt models and transformation workflows at scale

What we work with

Modern Data Workflows (DBT, Airflow, Prefect, Dagster)

CI/CD (Gitlab, GitHub Actions, Jenkins)

Programming Languages (Python, JavaScript, Kotlin or Java)

Big Data Platforms (Apache Spark, Presto, Amazon EMR)

Cloud Data Warehouses (Snowflake Data Cloud, Google BigQuery, DataBricks Lakehouse, Azure Synapse)

Databases (SQL Server, PostgreSQL, MySQL, Oracle, Vertica)

Container Management Systems (Kubernetes)

Visual Analytics (Tableau, Looker, PowerBI)

Artificial Intelligence / Machine Learning (Amazon SageMaker, Azure ML Studio)

Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)

Benefits

We are a 100% remote organization,



and our team members can work from the comfort of their homes, as well as anywhere abroad where they are entitled to work for up to 3 months per year.

We are strong believers of work‑life integration, and we offer a flexible schedule so that our team can manage their own workload and still be there for family and loved ones.

We offer 4 weeks of vacation annually, in addition to paid personal and sick days, so that our team can unwind, recharge, and enjoy time away for hobbies and family.

We provide a monthly bring-your-own-device allowance for each team member to choose the computer and phone of their preference (and it is theirs to keep afterwards).

We strongly believe in professional growth, so we are continuously educating ourselves with regular lunch & learn and industry events, and we invest in professional development and industry-based certifications for everyone in our team.

We constantly encourage everyone to step outside of their comfort zone and try new things, so we dedicate time each month to work on non-client work and collaborate on current innovative ideas, and we reward people who experiment and take risks.

We enjoy getting together, and we promote co-working days and social events in our main locations on a regular basis.

Infostrux is a proudly remote-first company, but for this role, team connection is key. This is a hybrid position based in downtown Toronto, requiring three days of onsite collaboration per week and offering remote flexibility for the remainder of your schedule.

We are committed to creating a diverse environment and are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Please note that you must be legally eligible to work in Canada to be considered for employment, and if selected, you must complete a criminal and credit background check to be hired. Compensation for this role depends on various factors, including seniority, skill level, and location. Compensation structures may also differ based on the type of engagement—contract rates vary from full‑time employee salary ranges. Specific details will be discussed during the hiring process.

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📌 Data Architect (Ontario)
🏢 Infostrux Solutions
📍 Ontario