Data Architect

Job Title: Data Architect Job Requisition ID: 77759 Company: Government of Alberta Ministry: Technology and Innovation Location: Greater Edmonton or Calgary area (Remote) Full Time, 36.25 hours per week Classification: Systems Analyst 3 Salary: $3,756.86 - $4,976.09 bi-weekly ($98,054 to $129,875 per year) Closing Date: January 16, 2026 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 both on-premise and cloud-based hosting environments, along with an operating framework are in place to support the 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. The passionate and solutions focused people that we hire help us to drive vital programs and services that affect Albertans. Whatever your position is here, you will be a part of something great. Join us bRole Responsibilities Join the team shaping the future of how the Government of Alberta uses data to drive decisions, deliver services, and power innovation. 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. This is a high-impact role where your technical leadership will help transform how data is collected, connected, secured, and used across the province. In this role, you will 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. You’ll apply hands‑on expertise across architecture, engineering, and integration to enable trusted, high-quality data that supports advanced analytics and future AI initiatives. Defining and implementing enterprise data architecture and standards that align with digital, data, and AI strategies across the GoA. Leading modernization of the cloud-based Data Management Platform using technologies such as Delta Lake, Databricks, Azure Data Factory, and other cloud-native tools. Designing and building scalable, secure data pipelines, ingestion frameworks, and transformation workflows with AI-ready structures and patterns. Enabling advanced analytics and AI initiatives by supporting machine learning workflows, feature pipelines, and robust data models. Ensuring strong data governance, quality, and security practices, incorporating requirements essential for AI-driven environments. Developing and executing platform roadmaps in collaboration with teams and vendors to support long-term modernization. Providing expert technical recommendations to ensure solutions are efficient, secure, scalable, and aligned with business priorities. Mentoring team members on modern data engineering practices, cloud technologies, and emerging AI-enabling patterns. Partnering with cross-functional teams—including platform services, governance, cybersecurity, and business stakeholders—to ensure seamless integration and operational excellence. To be successful in this position, you will demonstrate: Strong problem-solving, critical thinking, and decision-making skills, with the ability to resolve complex challenges effectively. Excellent communication and collaboration skills, including consultation, facilitation, and presenting technical concepts to stakeholders. Ability to convey complex data, systems integration, cybersecurity, and AI-driven concepts, solutions, and recommendations to key decision-makers in an understandable manner. bFuture-Focused Skills Matter As AI rapidly transforms how organizations use data, the ability to design systems that support AI-driven insights is essential. 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 AI-powered tools will help you drive innovation across the GoA’s evolving data ecosystem. bQualifications Required: University degree in a related field such as Computer Science or Information Technology. Minimum of Four (4) years of directly related experience in Information Technology, 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. Hands‑on experience in data engineering and management, with strong expertise in 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 Azure cloud-native tools, including Databricks, Delta Lake, Data Factory, and Synapse Analytics. Experience leading data architecture and platform initiatives, including continuous improvement, support, systems integration, and creation of scalable data products. Equivalencies: A related two-year diploma in a related discipline from a recognized post-secondary institution and six (6) years of related experience. A related one-year certificate from a recognized post-secondary institution and seven (7) years of related experience. Assets: Complex Enterprise and Specialized System Integration (including ServiceNow) Advanced Data Modeling & Information Architecture Enterprise Data Governance & Metadata Management Enterprise Security & Privacy-by-Design Experience Performance Engineering & Cost Optimization at Scale Legacy Platform Modernization or Cloud Migration AI-Ready Data Architecture Operating Model & Data Platform Enablement Infrastructure as Code (IaC) & Platform Automation Relevant Advanced Certifications or Architecture Credentials bTerm of Employment Permanent full-time position. Hours of Work: 36.25 hrs/week – Monday to Friday. Location: Greater Edmonton or Calgary area (Remote). This position is eligible for remote work from within Greater Edmonton or Calgary area; you must reside in these areas to work remotely for this position. Final candidates will be required to undergo security screening. bApplication Process Candidates are required to apply online. Please visit the Government of Alberta career site for application instructions and required materials. Applicants who have completed post‑secondary studies outside of Canada are encouraged to obtain an evaluation of their credentials from the International Qualifications Assessment Service (IQAS) or another recognized Canadian credential evaluator. We thank all applicants for their interest. Only individuals selected for interviews will be contacted. If you require further information on this job posting or require an accommodation during the recruitment process, please contact Michelle Elliott at #J-18808-Ljbffr