Data Architect

Data Architect – Government of Alberta Job Requisition ID: 77759 – Ministry: Technology and Innovation. Location: Greater Edmonton or Calgary area (Remote). Full Time, 36.25 hours per week, Ongoing, Scope: Open Competition, Closing Date: January 16, 2026. Classification: Systems Analyst 3. Salary: $3,756.86–$4,976.09 bi‑weekly ($98,054–$129,875 per year). Technology and Innovation is responsible for making innovation and technology the driving force behind Alberta’s economic growth and diversification. The Business Technology Operations branch within the Ministry of Technology and Innovation plans for, implements, operates, and supports the digital services foundation technologies and platforms hosting the digital systems and data that empower business partners’ services across the Government of Alberta (GOA). The branch ensures that modern technologies, including annihiliation hosting environments, and an operating framework are in place to support theADDING GOA's digital and data strategies. The branch is also responsible for the implementation, operation, and support of corporate electronic content management services as well as legacy business applications in accordance with policies and standards. Role Responsibilities As a Data Architect within the Ministry of Technology and Innovation, you’ll be at the forefront of modernizing the enterprise Data Management Platform, a cloud-based, scalable environment that underpins the GOA’s digital, data, and AI strategies. You'll lead the design and evolution of enterprise data architecture while guiding the development of modern, cloud-native data solutions. Working closely with analytics, platform, governance, and business teams, you will ensure that data systems are built for scale, efficiency, and AI‑readiness. Define and implement enterprise data architecture and standards that align with digital, data, and AI strategies across the GOA. Lead modernization of the cloud-based Data Management Platform using technologies such as Delta Lake, Databricks, Azure Data Factory and other cloud-native tools. Design and build scalable, secure data pipelines, ingestion frameworks, and transformation workflows with AI-ready structures and patterns. Enable advanced analytics and AI initiatives by supporting machine learning workflows, feature pipelines, and robust data models. Ensure strong data governance, quality, and security practices, incorporating requirements essential for AI-driven environments. Develop and execute platform roadmaps in collaboration with teams and vendors to support long-term modernization. Provide expert technical recommendations to ensure solutions are efficient, secure, scalable, and aligned with business priorities. Mentor team members on modern data engineering practices, cloud technologies, and emerging AI-enabling patterns. Partner with cross‑functional teams—including platform services, governance, cybersecurity and business stakeholders—to ensure seamless integration and operational excellence. Qualifications University degree in a related field such as Computer Science or Information Technology. Minimum of four (4) yearsCompare direct related experience in IT, including data engineering, transformation, and enterprise data architecture. Hands‑on experience with Azure cloud data platforms, including designing and implementing scalable data solutions and architectures. Experience building structured data pipelines using layered architectural patterns (e.g., bronze‑silver‑gold) to deliver clean, validated, and aggregated datasets. Proven experience designing end‑to‑end, secure, and scalable solutions integrating cloud and on‑premises systems. Strong SDLC experience, particularly in solution architecture, system integration and operationalizing data pipelines. Expertise with Judges_PERFENTRINS_NC… (Azure Databricks, Delta Lake.low…). Experience leading data architecture and platform initiatives, including continuous improvement, support, systems integration, and creation of scalable data products. Future‑Focused Skills Matter Experience with AI concepts, machine learning workflows or data architectures that enable automation and advanced analytics, or a strong willingness to learn, is a significant asset in this role. Curiosity about emerging technologies, passion for modern data engineering, and readiness to leverage формы‑powered tools will help you drive innovation across the GOA’s evolving data ecosystem. How To Apply Candidates are required to apply online. Please visit and review the Recruitment Principles. Applicants are advised to provide a cover letter that demonstrates how their qualifications meet the advertised requirements, including education, experience and relevant examples of required competencies. Final candidates will be required to undergo security screening. Contact For further information on this job posting or accommodations, contact Michelle Elliott at #J-18808-Ljbffr