Data Architect; Microsoft Azure​/Microsoft Fabric

Join to apply for the Data Architect (Microsoft Azure / Microsoft Fabric) role at Architech

At Architech, we don’t just ship software. We partner with North America’s leading brands to modernize legacy platforms, embed AI into real operations, and launch digital products that transform business outcomes. Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI to drive measurable impact - replatforming systems in the cloud, optimizing customer journeys, or accelerating AI adoption across the enterprise.

You’ll work at the intersection of strategy and execution, solving complex problems alongside smart, curious teammates across Canada and Poland. Backed by 20+ years of experience, a drive for excellence, and a culture rooted in growth and collaboration, this is where you thrive if you’re looking to deliver meaningful, high‑stakes software solutions.

We’re Building a More Inclusive Tech Industry

We believe diversity leads to better outcomes. Nearly half of our team was born outside of Canada, and we speak 19+ languages. We’re 31% women, 57% BIPOC, and 14% LGBTQIA+. We’ve doubled the number of women in tech roles in the past year, and maintain a 0% gender pay gap across our delivery and technology teams. Inclusion here isn’t a buzzword, it’s backed by data, policy, and accountability.

How We Work Together

We’re a close‑knitted, collaborative group who care about doing excellent work, and doing it with integrity. Our values shape how we show up every day:

• Think Big – Dream it, plan it, ship it
• Be Open & Collaborate – Diverse minds build better solutions
• Never Fail a Client – Own the outcome
• Grow Our People – Feedback, learning, leadership
• Do the Right Thing – Even when it’s hard

Our people say it best: "Employees of different backgrounds interact well within our company" - and 97% agree. Another 96% say "Architech respects individuals and values their differences." We support continuous growth with learning budgets, internal bootcamps, certification bonuses, summit days, and more. It’s not just work - it’s a place to grow, lead, and build things that matter. And this is just the beginning.

Check out all our other great benefits.

The Data Architect (Azure Data Architect or Data Platform Architect) designs and leads the build‑out of scalable, AI‑ready data solutions using Microsoft Fabric and the Azure data ecosystem. This role connects business goals to data architecture, ensuring platforms are secure, performant, and optimized for analytics and AI use cases.

You will define how data flows from raw ingestion (bronze) through transformation (silver) to curated, analytics‑ready models (gold). You will collaborate with engineering and business peers to design data environments that enable analytics, automation, and AI‑driven insight.

• Architect Microsoft Fabric environments: Design end‑to‑end data architectures, defining ingestion, transformation, and curation patterns that support analytics and AI workloads.
• Design and manage data lake architectures: Ensure efficient replication, synchronization, and data flow across Fabric work spaces and multi‑zone environments.
• Framework alignment: Ensure all data architectures align with Microsoft’s Cloud Adoption Framework (CAF) and the Azure Well‑Architected Framework to maintain consistency, scalability, and governance across solutions.
• Define business‑aligned data models: Partner with stakeholders to understand reporting, analytics, and AI needs and design scalable, flexible data models.
• AI readiness: Define structures, metadata, and access patterns that make data discoverable and usable for AI workloads such as retrieval‑augmented generation (RAG), intelligent search, and summarization.
• Data governance and security: Collaborate with peers to implement encryption at rest and in transit, role‑based access controls (RBAC), and data masking that meet enterprise and client expectations for data integrity and privacy.
• Performance and cost optimization: Guide architecture decisions related to Fabric SKUs, One Lake storage, and data refresh strategies for efficient scale and cost.
• Collaboration and…