Senior Data Architect leading secure, scalable data architecture for Manulife’s financial services organization. Designing cloud, lakehouse, analytics, machine learning, and generative AI data platforms.
About the role
- Senior Data Architect integrating Alberta’s environmental regulatory, Databricks, and geospatial platforms. Designing governed data flows for regulators, decision-makers, and Albertans.
Responsibilities
- Define and maintain target-state data architecture 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 batch, near-real-time, event-driven, API-based, and change-data-capture integration patterns
- Design Databricks lakehouse structures, including bronze, silver, and gold layers, Delta Lake tables, and Unity Catalog organization
- Architect spatial data flows preserving geometry, coordinate reference systems, and spatial accuracy
- Lead the design of data pipelines and interfaces with data engineers and developers
- Define data contracts, API specifications, and interface agreements
- Resolve integration issues involving data quality, schema changes, latency, and system dependencies
- Participate in sprint planning, backlog refinement, reviews, and translate architecture into user stories
- Embed metadata management, lineage, data classification, and master and reference data governance
- Ensure compliance with Government of Alberta information security, privacy, and records management standards
- Define data quality rules, validation frameworks, and monitoring approaches
- Apply role-based access controls and data-sharing policies
- Advise program leadership, product owners, and technical teams on data architecture
- Translate regulatory processes into data requirements
- Coordinate with enterprise architecture, cybersecurity, and ministry platform teams
- Produce architecture documentation, diagrams, and decision records
- Mentor team members and promote data architecture best practices
Requirements
- 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
- 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 relational, dimensional, and lakehouse data modelling
- Experience designing enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and change data capture
- Experience with cloud data platforms, preferably Microsoft Azure, including Data Lake Storage, Data Factory, Event Hubs, and Key Vault
- Experience with ServiceNow Integration
- Experience in the public sector, ideally 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 in agile delivery teams
- Public-sector experience in a similar capacity
- Excellent communication skills and ability to explain technical concepts to non-technical audiences
Benefits
- Remote work arrangement indicated by the role title
- Agile, multidisciplinary team environment
- Mentoring and knowledge-sharing opportunities
- Opportunity to work on a province-wide environmental regulatory modernization program
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