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Data Architect
Job summary
A leading technology firm in Edmonton is seeking a Data Architect to design and manage data architecture on Microsoft Azure for a government entity. The ideal candidate will have extensive experience in data architecture, Azure services, and development of data pipelines. Strong knowledge in compliance and technical leadership is essential. This role offers a competitive salary and opportunities for professional growth.
Qualifications
- 8 years of experience as a Data Architect in a large enterprise.
- 6 years of hands-on experience in Python and SQL for Data Engineering.
- 5 years of experience with Azure Infrastructure, Services, and Authentication.
- 4 years of experience designing analytics-ready data platforms.
Responsibilities
- Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure.
- Lead the development of data ingestion, transformation, and integration pipelines.
- Architect and manage data lakes and structured storage solutions.
- Implement data governance practices including metadata management.
Skills
Education
Tools
Job Summary :
The Data Architect will be responsible for designing, implementing, and managing a scalable, secure, and integrated data architecture on Microsoft Azure for a government entity. This includes developing data ingestion, transformation, and integration pipelines, ensuring compliance with regulatory standards, and providing technical leadership to data engineers and analysts. The role requires a strong understanding of Azure services, data governance, and the ability to align data architecture with business requirements.
Location : Edmonton, Alberta, Canada
Responsibilities :
- 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.
- Build and optimize data workflows using Python and SQL within Azure Databricks.
- Design and expose secure data services and APIs using Azure API Management.
- 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.
- Monitor and troubleshoot data pipelines and integrations.
- Provide technical leadership and mentorship to data engineers and analysts.
- Other duties as needed.
Required Skills & Certifications :
- College or Bachelor degree in Computer Science or a related field of study.
- 8 years of experience as a Data Architect in a large enterprise.
- 6 years of hands-on experience in Python and SQL for Data Engineering.
- 5 years of experience with Azure Infrastructure, Services, and Authentication.
- 4 years of experience designing analytics-ready data platforms.
- 4 years of experience using version control systems.
- 3 years of hands-on experience with Azure Databricks and Delta Lake.
- 3 years of experience managing Databricks workspaces.
Preferred Skills & Certifications :
Special Considerations :
Scheduling :
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.