Data scientist Jobs in St. Albert, AB

Job Description

Client: Government of Alberta – Environment & Protected Areas

Location: Remote within Canada

Work Hours: Mon–Fri, 8:15 AM–4:30 PM Alberta Time

Contract: Approx. 739.5 hours + potential extension up to 24 months

Start: November 2026

Openings: 1 | Category: IT/Technical | Travel: 0%

Background Check: Criminal record check required

Deadline: October 13, 2026

Role:

Seeking a Data Architect to lead enterprise data architecture and integration for the Digital Regulatory Assurance System (DRAS), integrating DRAS with Databricks Data Management Platform and Alberta Geospatial Platform.

Key Responsibilities:

• Define target-state data architecture and conceptual/logical/physical data models.
  
• Design Databricks lakehouse, Delta Lake, Spark/PySpark/SQL, Unity Catalog solutions.
  
• Architect ETL/ELT, REST APIs, event streaming, CDC, batch and real-time integrations.
  
• Design Azure data solutions using ADLS, Data Factory, Event Hubs, Key Vault.
  
• Lead data pipelines, interfaces, data contracts and API specifications.
  
• Integrate with ServiceNow and geospatial platforms.
  
• Establish data governance, metadata, lineage, classification, data quality and security.
  
• Conduct threat/risk assessments and recommend mitigation strategies.
  
• Work with Enterprise Architecture, cybersecurity, GIS, developers, data engineers, BAs and Product Owners.
  
• Participate in Agile/Scrum ceremonies and translate architecture into user stories.
  
• Produce architecture diagrams, documentation and decision records; provide technical leadership and mentoring.
  

Requirements

Mandatory Qualifications

• University degree or college/bachelor-level education in Computer Science, Information Systems, Engineering, Geomatics, or a related field.
  
• 8+ years designing, planning, implementing, documenting, and supporting enterprise database/solution architectures in environments comparable in size and complexity to the Government of Alberta.
  
• 8+ years applying enterprise architecture principles, methodologies, standards, tools, policies, and processes.
  
• 8+ years working as a Data Architect in a large enterprise IT environment.
  
• 6+ years performing threat and risk assessments and presenting risk-mitigation recommendations to senior management.
  
• Demonstrated experience providing technical leadership, planning, estimating, and presentations.
  
• Hands-on experience with Databricks, Delta Lake, Spark/PySpark/SQL, and Unity Catalog.
  
• Strong data modelling experience across relational, dimensional, and lakehouse architectures.
  
• Enterprise integration experience with REST APIs, ETL/ELT, event streaming, and CDC.
  
• Experience with cloud data platforms, preferably Microsoft Azure.
  
• Experience with ServiceNow integration.
  
• Experience with data governance, metadata, lineage, data quality, and data security.
  
• Experience working in Agile delivery environments.
  
• Strong communication skills and ability to explain technical concepts to technical and non-technical stakeholders.
  
• Public-sector experience is strongly preferred, particularly government regulatory systems or programs.
  
• Experience with geospatial platforms and geospatial data concepts, formats, and standards.
  

Nice-to-Have Qualifications

• TOGAF certification.
  
• 5+ years designing and implementing enterprise architecture database plans/models aligned to business capabilities.
  
• 4+ years using architecture modelling tools such as PowerDesigner, ER/Studio, ERwin, BPwin, or Rational Rose.
  
• 4+ years project managing application development using Agile/Sprint methodologies.
  
• 5+ years with cloud computing or big-data platforms/infrastructure.
  
• 4+ years with enterprise BI/performance-management technologies such as Cognos, Microsoft SQL Server Services, Power BI, or MicroStrategy.
  
• 4+ years as a Data Architect designing and implementing enterprise database solutions.
  
• 5+ years developing SQL databases.
  
• 5+ years implementing SQL data warehouses.
  
• 5+ years querying data using Transact-SQL (T-SQL).
  
• 5+ years of prior Government of Alberta experience is considered a strong asset.
  

Requirements
Data Architecture, Data Engineering, Data Integration, Enterprise Architecture, Databricks, Delta Lake, Apache Spark, PySpark, SQL, Unity Catalog, Lakehouse Architecture, Data Modelling, Relational Data Modelling, Dimensional Modelling, REST APIs, ETL/ELT, Event Streaming, Change Data Capture (CDC), Microsoft Azure, Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Event Hubs, Azure Key Vault, ServiceNow Integration, Geospatial Data, GIS Integration, Data Governance, Metadata Management, Data Lineage, Data Classification, Master Data, Reference Data, Data Quality, Data Security, RBAC, Threat & Risk Assessment, Enterprise Databases, SQL Data Warehousing, T-SQL, Agile, Scrum, Architecture Documentation, Stakeholder Management