Our Client is seeking an experienced Data Architect to support the Digital Regulatory Assurance System (DRAS), a major initiative focused on modernizing regulatory and environmental data management across the province.

The successful candidate will lead the design and integration of data across DRAS, Databricks-based data platforms, and the Alberta Geospatial Platform, ensuring regulatory, environmental, and spatial data is reliable, secure, well-governed, and reusable.

Key Responsibilities Define and maintain target-state data architecture across enterprise systems and data platforms.

Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data.

Design scalable Databricks lakehouse architectures, including Bronze/Silver/Gold layers, Delta Lake, and Unity Catalog.

Establish enterprise integration patterns including REST APIs, ETL/ELT, event-driven integration, change data capture, and batch/near-real-time processing.

Design and guide data pipelines and interfaces between business systems and data platforms.

Define data contracts, APIs, integration specifications, and interface standards.

Architect geospatial data integrations while maintaining geometry, coordinate reference systems, and spatial accuracy.

Establish data governance practices covering metadata, lineage, classification, master/reference data, security, and data quality.

Ensure architecture complies with Government of Alberta information security, privacy, and records-management standards.

Resolve complex architecture and integration issues involving schema changes, data quality, latency, and system dependencies.

Partner with developers, data engineers, GIS specialists, business analysts, cybersecurity teams, product owners, and enterprise architects.

Produce architecture diagrams, technical documentation, and architecture decision records.





Provide technical leadership and mentor team members on data architecture best practices.

Participate in Agile ceremonies and translate architecture requirements into actionable delivery work.

Required Qualifications College or university degree in Computer Science, Information Systems, Engineering, Geomatics, or a related discipline.

Approximately 8+ years of enterprise data architecture, database architecture, data engineering, or enterprise solution experience.

Strong experience working as a Data Architect within complex enterprise IT environments.

Hands-on experience with Databricks, Delta Lake, Spark/PySpark, SQL, and Unity Catalog.

Strong knowledge of relational, dimensional, and lakehouse data modelling.

Experience designing and implementing enterprise integration solutions using REST APIs, ETL/ELT, event streaming, and change data capture.

Experience with cloud and big-data platforms, preferably Microsoft Azure.

Knowledge of Azure Data Lake Storage, Azure Data Factory, Event Hubs, and Key Vault.

Experience designing, implementing, and supporting enterprise databases and data warehouse solutions.

Strong SQL and Transact-SQL experience.

Experience with Service

Now integration.

Experience conducting or contributing to threat and risk assessments and presenting technical recommendations.

Strong understanding of enterprise architecture principles, data governance, metadata management, data quality, privacy, and security.

Experience working within Agile delivery environments.

Solid communication and stakeholder-management skills.

Nice to Have Experience integrating with GIS/geospatial platforms and working with geospatial data formats, standards, coordinate systems, and spatial data.

Experience with architecture modelling tools such as Power

Designer, ER/Studio, or similar tools.

Experience with enterprise Business Intelligence and performance-management platforms. TOGAF certification.

Previous Government of Alberta or Canadian public-sector experience is a strong asset.

📌 Data Architect - Senior (Edmonton)
🏢 Teckhorizon
📍 Edmonton