Sr. Data Architect - GOAPRDJP00000616
Source CodeToronto, Ontario, Canada • Edmonton, Alberta, Canada
Posted January 6, 2026
Contract / Temporary
About the Company
Source Code is a global STEM consulting and workforce solutions firm that partners with leading organizations across healthcare, government, energy, finance, and technology sectors. The company delivers end‑to‑end technology services—including cloud, AI, machine learning, mobile, and IoT—while sourcing and developing top STEM talent. By cultivating growth for both clients and consultants, Source Code builds dynamic partnerships that drive measurable success. Its deep industry expertise and proven track record with some of the world’s largest enterprises set it apart as a trusted advisor in the STEM consulting space.
Job Description
We are seeking a Sr. Data Architect to design, implement and manage scalable, secure, and integrated data solutions using Azure services. The successful candidate will have hands-on experience with Databricks, Synapse, and Data Factory, and will be responsible for leading the development of data ingestion, transformation, and integration pipelines.
Requirements
- Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure
- Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
- Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2
- Integrate data from diverse source systems using APIs, connectors, and custom scripts
- Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases
- Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks
- Design and expose secure data services and APIs using Azure API Management for downstream systems
- Implement data governance practices, including metadata management, data classification, and lineage tracking
- Ensure compliance with privacy and regulatory standards through role-based access controls, encryption, and data masking
- Collaborate with cross-functional teams to align data architecture with business requirements, program timelines, and modernization goals
- Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform
- Provide technical leadership and mentorship to data engineers and analysts, promoting best practices in cloud data architecture and development