Data Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee the design of scalable, secure, governed, and resilient enterprise data solutions.

• Establish standards, patterns, models, and reference architectures for data architecture.

• Create comprehensive solutions utilizing Databricks, Microsoft Azure, Power BI, and other enterprise platforms.

• Direct the development of enterprise data models, governed data products, and reusable data components.

• Enhance and streamline the data landscape by minimizing duplication, technical debt, and unnecessary complexity.

• Integrate governance, security, privacy, metadata, lineage, and data quality into architecture from the outset.

• Set modelling standards and patterns for data integration, access, masking, and provisioning.

• Facilitate trusted, governed data through Microsoft Purview and Databricks Unity Catalog.

• Ensure solutions are aligned with performance, scalability, interoperability, maintainability, and cost efficiency.

• Architect systems that support Power BI, analytics, machine learning, generative AI, and AI agents.

• Assess emerging technologies and lead proof-of-concept initiatives.

• Serve as a trusted technical advisor regarding enterprise data architecture.

• Collaborate with Data Management, Engineering, Analytics, Security, Enterprise Architecture, and business teams.

• Drive architectural decisions and foster alignment among teams.

• Mentor and coach others while advocating for reuse, simplification, innovation, and robust architectural practices.

⛳️ Requirements

• Post-secondary education in Computer Science, Information Systems, Data Management, Software Engineering, or equivalent experience.

• A minimum of 8 years of progressive experience in data architecture, data engineering, data management, or enterprise data solutions.

• Extensive experience in designing enterprise solutions using Databricks, Microsoft Azure, SQL, and Power BI.

• Advanced understanding of data architecture and modelling, including conceptual, logical, and physical models.

• Familiarity with lakehouse architecture, data warehousing, data integration, APIs, ETL/ELT, and governed data products.

• In-depth knowledge of data governance, security, metadata, lineage, data quality, master/reference data, and access controls.

• Proficiency with Microsoft Purview and Databricks Unity Catalog.

• Experience in designing data solutions that facilitate analytics, machine learning, generative AI, and AI agents.

• Certifications such as DAMA/CDMP, Microsoft Azure data or architecture certifications, Databricks data engineering or architecture certifications, TOGAF, or similar architecture training are advantageous.

• Successful completion of a criminal background check, reference check, and credit check is required for employment.

• Occasional travel to Edmonton, Calgary, or Red Deer may be required.

🏝️ Benefits

• Competitive compensation package including performance-based incentives and profit sharing.

• Comprehensive health and wellness benefits.

• Generous vacation programs.

• Retirement savings plans.

• Opportunities for training and development.

• Potential for career advancement.

• Flexible work arrangements.

• Meaningful contributions towards individual and organizational objectives.

• Employee volunteer program with opportunities to give back to the community.

• Credit union membership benefits, including profit sharing, voting rights for the board of directors, and financial services.

• An inclusive, equitable, and accessible workplace.

• Accommodations available throughout every stage of the hiring process upon request.