Fabric Architect
Adastra Corporation
- Calgary, AB
- Permanent
- Temps-plein
- Workspace Design & Governance
- Define and implement workspace design and naming standards in Microsoft Fabric
- Set up and manage separate Fabric workspaces for Development, QA/Test, and Production environments
- Infrastructure & Integration
- Support the installation and configuration of the Fabric Gateway on on-premise virtual machines to enable secure hybrid data connectivity
- Data Architecture
- Design and implement the Gold Layer data model within Microsoft Fabric, including:
- 1 comprehensive Data Mart
- 1 Fact Table (up to 15 attributes)
- Up to 5 related Dimension Tables
- Develop and maintain a Source-to-Target Mapping Document to ensure traceability and lineage
- Data Engineering & Pipelines
- Implement a reusable, scalable data ingestion framework for the Bronze Layer
- Ingest data from up to 15 diverse source tables (average 15 attributes each) into the Bronze Layer
- Design and implement Bronze-to-Silver pipelines using primary key-based merging for consistency across all 15 tables
- Build transformation logic to process Silver Layer data into the Gold Layer, optimizing for analytics consumption
- Proven experience architecting and implementing solutions on Microsoft Fabric
- Strong understanding of data lakehouse architecture principles (Bronze/Silver/Gold layers)
- Proficiency in Data Factory, Dataflows, Pipelines, and Power Query (M) and T-SQL/DAX
- Hands-on experience with data modeling, including fact and dimension design
- Demonstrated expertise in building source-to-target mappings, ETL/ELT processes, and pipeline orchestration
- Familiarity with hybrid connectivity setups, including on-premise gateway installation and configuration
- Experience in setting up and managing multi-environment workspaces with deployment and naming standards
- Strong problem-solving skills with attention to data quality, performance, and reusability
- Excellent communication and documentation abilities
- Experience with DevOps practices in Fabric or Azure Data tools (CI/CD, workspace deployment pipelines)
- Familiarity with Row-Level Security (RLS) and other data governance practices
- Exposure to Dataverse, Azure Data Lake, or other cloud-native data sources
- Previous experience working in regulated or enterprise environments with strict data handling policies
- Opportunity for advancement and career progression
- Competitive compensation package
- Comprehensive benefits plan
- Successful referral program
- Satisfaction of working for a reputable company
- A flexible, dynamic, and diverse workplace