Description

Key Responsibilities

Architecture and Design

• Define and maintain the target-state data architecture for integrating DRAS, the Databricks Data Management Platform, and the Alberta Geospatial Platform.
• Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains.
• Establish integration patterns (batch, near-real-time, event-driven, API-based, change data capture) suited to each use case.
• Design lakehouse structures on Databricks, including medallion (bronze/silver/gold) layers, Delta Lake tables, and Unity Catalog organization.
• Architect spatial data flows that preserve geometry, coordinate reference systems, and spatial accuracy across platforms.

Integration and Delivery

• Lead the design of data pipelines and interfaces between systems, working closely with data engineers and developers during build.
• Define data contracts, API specifications, and interface agreements between system owners.
• Resolve complex integration issues involving data quality, schema changes, latency, and system dependencies.
• Take part in agile ceremonies (sprint planning, backlog refinement, reviews) and turn architecture into actionable user stories.

Data Governance, Security, and Quality

• Embed data governance practices, including metadata management, lineage, data classification, and master and reference data.
• Ensure designs meet Government of Alberta standards for information security, privacy (including Alberta's access-to-information and privacy legislation), and records management.
• Define data quality rules, validation frameworks, and monitoring approaches across integrated systems.
• Apply role-based access controls and data-sharing policies appropriate to data sensitivity.

Leadership and Collaboration

• Serve as the trusted data architecture advisor to program leadership, product owners, and technical teams.
• Work with business areas to understand regulatory processes and turn them into data requirements.
• Coordinate with enterprise architecture, cybersecurity, and other ministries' platform teams to keep the work aligned with GoA standards and roadmaps.
• Produce clear architecture documentation, diagrams, and decision records.
• Mentor team members and promote data architecture best practices.

Required Qualifications

• University degree in Computer Science, Information Systems, Engineering, Geomatics, or a related field.
• 7+ years of progressive experience in data architecture, data engineering, or data integration, with at least 3 years in a data architect role.
• Hands-on experience designing solutions on Databricks, including Delta Lake, Spark (PySpark/SQL), and Unity Catalog.
• Strong experience with data modelling (relational, dimensional, and lakehouse approaches).
• Proven experience designing enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and change data capture.
• Experience with cloud data platforms, preferably Microsoft Azure (Data Lake Storage, Data Factory, Event Hubs, Key Vault).
• Experience with ServiceNow Integration.
• Experience in the public sector, ideally with government regulatory systems or programs.
• Experience integrating with geospatial platforms, and working knowledge of geospatial data concepts, formats, and standards.
• Working knowledge of geospatial data concepts, formats, and standards.
• Solid understanding of data governance, metadata management, data quality, and data security principles.
• Experience working in agile delivery teams, with experience in public sector in similar capacity
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.

Key Skills

Education

Bachelor's degree