AOT Technologies - Senior Data Architect
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Requirements
• You are an experienced data engineering leader who combines deep technical expertise with the ability to lead teams, influence strategy, and deliver enterprise-scale solutions. You’re energized by complex data challenges and take pride in building platforms that are reliable, scalable, and well-governed. • 4+ years of hands-on experience with Databricks, including Unity Catalog, Data Ingestion, ETL/ELT pipelines, and Medallion Architecture • Strong programming experience in Python and SQL • 5+ years of experience with public cloud platforms (Azure, AWS, or GCP) • 5+ years of experience as a technical lead or architect, leading engineering teams and coordinating deliveries • 10+ years of overall experience in software development or IT • Experience with CI/CD pipelines and Infrastructure as Code (IaC) • Strong understanding of Agile methodologies and engineering practices • Nice-to-Have • Nice-to-Have • Minimum 1+ year of experience with the Microsoft Data Engineering stack, including Microsoft Fabric, Azure Data Factory, and Lakehouse / OneLake • Exposure to AI / Machine Learning solutions • Domain experience in healthcare or financial services domains • Experience with Power BI, semantic datasets, and Power Query • Full-stack development experience with Python, Java, .NET Core, and React or Angular • Experience in data warehouse to lakehouse migration and platform modernization • Databricks and/or Azure Data Engineer certifications
Responsibilities
• As a Senior Data Architect, you will design and implement scalable, cloud-native data platforms for enterprise and public sector clients. You will lead engineering teams, drive architecture decisions, and deliver modern data solutions using Databricks, Microsoft Fabric, and leading cloud technologies. • Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms • Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns • Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices • Lead and mentor engineering teams, coordinating deliveries and driving technical standards • Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms • Partner with clients and stakeholders to translate business requirements into scalable data solutions • Champion data governance, quality, and security using tools such as Unity Catalog • Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations
Benefits
• Salary range of $115K to $145K CAD, commensurate with experience • Flexible remote work environment with optional hybrid collaboration for candidates located in Victoria, BC • Continuous learning and leadership development opportunities • Flexible schedules and generous paid time off • Competitive health, dental, and wellness benefits from Day 1 • Employer-sponsored deferred profit-sharing plan • A collaborative, mission-driven culture where your work matters • If you’re passionate about designing scalable, modern data platforms and want to lead impactful work across enterprise and public sector clients, apply today – we’re hiring now and excited to meet you. • We strongly encourage candidates of all backgrounds, experiences, and identities to apply, even if they don’t meet 100% of the listed criteria. We are seeking candidates with diverse career experiences for this position. If you’re passionate about impacting the tech industry and eager to contribute your expertise, we invite you to apply! • Please note that selected candidates must provide official email references from direct project leads or reporting managers and project details including client company name, duration, role, and responsibilities. • Closing date: April 16, 2026 at 12:00 AM PST • $115,000—$145,000 CAD
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