Senior Data Architect

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

📋 Description

• Define and uphold the target-state data architecture encompassing DRAS, the Databricks Data Management Platform, and the Alberta Geospatial Platform.

• Create conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains.

• Establish integration patterns including batch, near-real-time, event-driven, API-based, and change-data-capture.

• Design structures for Databricks lakehouse, incorporating bronze, silver, and gold layers, Delta Lake tables, and Unity Catalog organization.

• Architect spatial data flows to maintain geometry, coordinate reference systems, and spatial precision.

• Lead the development of data pipelines and collaborate with data engineers and developers.

• Define data contracts, API specifications, and interface agreements.

• Troubleshoot integration issues related to data quality, schema alterations, latency, and system dependencies.

• Engage in sprint planning, backlog refinement, reviews, and convert architecture into user stories.

• Integrate metadata management, lineage, data classification, and governance of master and reference data.

• Ensure adherence to the Government of Alberta's information security, privacy, and records management standards.

• Establish data quality rules, validation frameworks, and monitoring strategies.

• Implement role-based access controls and data-sharing policies.

• Provide guidance to program leadership, product owners, and technical teams regarding data architecture.

• Translate regulatory processes into specific data requirements.

• Collaborate with enterprise architecture, cybersecurity, and ministry platform teams.

• Generate architecture documentation, diagrams, and decision records.

• Mentor team members and advocate for best practices in data architecture.

⛳️ Requirements

• A university degree in Computer Science, Information Systems, Engineering, Geomatics, or a related discipline.

• Over 7 years of progressive experience in data architecture, data engineering, or data integration.

• A minimum of 3 years in a data architect position.

• Practical experience in designing solutions on Databricks, including Delta Lake, Spark (PySpark/SQL), and Unity Catalog.

• Strong expertise in relational, dimensional, and lakehouse data modeling.

• Proven experience in designing enterprise integration patterns, such as REST APIs, ETL/ELT, event streaming, and change data capture.

• Familiarity with cloud data platforms, ideally Microsoft Azure, including Data Lake Storage, Data Factory, Event Hubs, and Key Vault.

• Experience with ServiceNow Integration.

• Background in the public sector, preferably with government regulatory systems or programs.

• Experience integrating with geospatial platforms.

• Working knowledge of geospatial data concepts, formats, and standards.

• Understanding of data governance, metadata management, data quality, and data security principles.

• Experience working within agile delivery teams.

• Previous public-sector experience in a comparable role.

• Exceptional communication skills, with the ability to convey technical concepts to non-technical audiences.

🏝️ Benefits

• Remote work arrangement as indicated by the role title.

• Agile, multidisciplinary team environment.

• Opportunities for mentoring and knowledge sharing.

• Chance to contribute to a province-wide environmental regulatory modernization program.