Total compensation:

CAD $140,000 - $175,000

Join Us in Building the FutureAt 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 IndustryWe 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 TogetherWe're a close-knit, 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
• Embrace Change - Adapt fast, stay curious

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.

Role Overview

TheData Architect(Azure Data Architect or Data Platform Architect) designs and leads the build-out of scalable,AI-readydata solutions usingMicrosoft Fabricand theAzure 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 fromraw ingestion (bronze)throughtransformation (silver)tocurated, analytics-ready models (gold). You will collaborate with engineering and business peers to design data environments that enable analytics, automation, and AI-driven insight.

Key Responsibilities

• 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 workspaces and multi-zone environments.
• Framework alignment:Ensure all data architectures align withMicrosoft's Cloud Adoption Framework (CAF)and theAzure Well-Architected Frameworkto 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, OneLake storage, and data refresh strategies for efficient scale and cost.
• Collaboration and mentorship:Work closely withData Engineersto translate architecture into delivery, promote data quality, and ensure design consistency.
• Documentation and enablement:Produce reference architectures, blueprints, and reusable standards that accelerate future projects and maintain governance consistency.

Skills and Qualifications

• 7 or more years of experience indata architecture,data engineering, ordata platform design, with at least 2 years in theMicrosoft Azure data ecosystem.
• Proven experience withMicrosoft Fabric,Azure Data Factory,Synapse, andPower BI.
• Strong understanding ofdata lakehouse design,ELT/ETLpatterns, andschema evolution.
• Proficiency inSQLand working knowledge ofPythonfor automation or validation tasks.
• Familiarity withdata governanceand metadata management tools such asMicrosoft Purview.
• Practical understanding ofdata security,RBAC,encryption, andprivacy best practices.
• Excellent communication and collaboration skills with the ability to work across disciplines.
• Strategic thinker comfortable inAI-ready, iterative, and client-focused environments.

Tools and Technologies

Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks, Data Lake Storage, Microsoft Purview, Python, SQL, Git, Terraform or Bicep, Azure Monitor.

Nice to Have

• Experience applyingMicrosoft's Cloud Adoption Framework (CAF)and theAzure Well-Architected Frameworkto ensure scalability and governance consistency.
• Experience enablingAI and semantic capabilities, including metadata enrichment, retrieval-augmented generation (RAG), and knowledge graph design.
• Exposure todata product thinking,domain-driven design, ordata meshprinciples.
• Familiarity withvector databases,semantic search, andembedding pipelines.

Architech is an equal opportunity employer committed to diversity. Should you require any accommodations prior to or during the interview process, please indicate this during the interview process. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.