Senior Data Architect

Senior Data Architect

Location : Edmonton, Alberta, Remote

Job Summary : The client’s modernization initiatives are shifting legacy systems to a cloud-native Azure Data Management Platform, alongside on-premises geospatial systems. This transformation requires a Data Architect to design, implement and manage scalable, secure, and integrated data solutions. The Data Architect will enable seamless ingestion, transformation, and integration of this data using Azure services including Data Factory, Synapse Analytics, Data Lake Storage, and Purview. Azure Databricks will be used to support advanced data engineering, analytics, and machine learning workflows. The Data Architect will ensure that data pipelines are optimized for both batch and real‑time processing, supporting operational reporting, predictive modeling, and automation. The Data Architect will design and manage these interfaces using Azure API Management, ensuring secure, governed, and scalable access to data. The Data Architect will implement role‑based access controls, encryption, data masking, and metadata management to meet FOIP and other regulatory requirements. As data volumes and complexity grow, the Data Architect will ensure the platform remains extensible, reliable, and future‑ready, supporting new data sources, ministries, and analytical capabilities.

Responsibilities

• Design and implement scalable, secure, and high‑performance data architecture on Microsoft Azure, supporting both cloud‑native and hybrid environments.
• 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, ensuring efficient access and governance.
• Integrate data from diverse source systems including ServiceNow, and geospatial 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 (e.g., FOIP, GDPR) 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.
• Other duties as needed.

Requirements

Nice To Have

Mindtris, a minority women‑owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top‑tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.

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