Data Architect

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.

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.

• 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

• Passion for data and engineering excellence
• Experience with formal (traditional, modern) 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

• 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

• Modern Data Workflows (DBT, Airflow, Prefect, Dagster)
• CI/CD (Gitlab, Git Hub Actions, Jenkins)
• Programming Languages (Python, JavaScript, Kotlin or Java)
• Big Data Platforms (Apache Spark, Presto, Amazon EMR)
• Cloud Data Warehouses (Snowflake Data Cloud, Google Big Query, Data Bricks Lakehouse, Azure Synapse)
• Databases (SQL Server, PostgreSQL, MySQL, Oracle, Vertica)
• Container Management Systems (Kubernetes)
• Visual Analytics (Tableau, Looker, PowerBI)
• Artificial Intelligence / Machine Learning (Amazon Sage Maker, Azure ML Studio)
• Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)

• We are…