Contract Remote (within Canada) • Posted on May 19, 2026

Requisition #: R (GOAPRDJP )

Location: Remote (within Canada)

Engagement Type: Contract

Number of Resources required: 2

Rate (CAD): Up to $70.00 per hour / Commensurate with related experience and market competitiveness

Term: to with 6‑month extension available (up to 16‑month contract)

Hours per day: 7.25

Security Screening: Standard (Criminal Record Check)

Tri‑global Solutions Group Inc. is seeking two (2) Data Product Analyst (Azure Data Engineer) to join our talented Service Delivery team at the Ministry of Technology and Innovation (Government of Alberta).

WORK MODEL: Candidates will work remotely, with availability for onsite meetings as required. Work must be done from within Canada at all times. Standard hours are 08:15 – 16:30 Alberta time, Monday through Friday, excluding observed holidays.

PROJECT OVERVIEW

Project Name: Digital Regulatory Assurance System

Job Title: Data Product Analyst

Scope: The Data Product Analyst – Intermediate will support the Digital Regulatory Assurance System (DRAS) program, ensuring high‑quality, timely analytics for regulatory and compliance functions. The role may expand to support additional enterprise data initiatives as analytics maturity increases.

Modernization initiatives across the Government of Alberta are transforming legacy systems into modern Data Management and Geospatial Platforms, requiring dedicated analytical capacity to realize the value of modernized data assets.

DRAS is a regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. It supports the full regulatory lifecycle – from application and authorization to monitoring, compliance, remediation, and closure – through a single, consolidated digital platform.

The volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Analyst will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets to support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

DESCRIPTION OF SERVICES

Design and implement scalable, secure, 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.
Work with the Data 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.
Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
Leverage AI‑assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.
Other duties as needed.

MANDATORY SKILLS

Post‑secondary degree, diploma or certificate in Computer Science or related field of study.
Experience building scalable data pipelines with Azure Databricks, Delta Lake, Workflows, Jobs, and Notebooks, plus cluster management (3+ years).
Experience designing data solutions for analytics‑ready, trusted datasets using Power BI and Synapse, including semantic layers, data marts, and data products for self‑service, data science, and reporting (3+ years).
Experience in data governance, security, and metadata management within a Databricks‑based platform (2+ years).
Experience with GitHub/Git for version control, collaborative development, code management, and integration with data engineering workflows (4+ years).
Experience with Azure services (Storage, SQL, Synapse, networking) for scalable, secure solutions, and with authentication (service principals, managed identities) for secure access in pipelines and integrations (3+ years).
Experience in Python (including PySpark) and SQL, applied to developing, orchestrating, and optimizing enterprise‑grade ETL/ELT workflows in a large‑scale cloud environment (5+ years).
Use of AI – experienced in using AI for code generation, data analysis, automation, and enhancing productivity in data engineering workflows (1+ year).

DESIRABLE / NICE TO HAVE SKILLS

Direct, hands‑on experience performing business requirement analysis related to data manipulation, cleansing, and wrangling (6+ years).
Experience and strong technical knowledge of Microsoft SQL Server, including database design, optimization, and administration in enterprise environments (6+ years).
Experience extending or integrating data solutions with Azure Synapse Analytics and Microsoft Fabric (Lakehouse, Warehouse, Semantic Models) (2+ years).
Direct experience building data products in Government of Alberta cloud environment (1+ year).
Experience building scalable ETL pipelines, data quality enforcement, and cloud integration using Talend technologies (2+ years).
Skilled in building secure, scalable RESTful APIs for data exchange, with robust auth, error handling, and support for real‑time automation (3+ years).
Experience working with cross‑functional teams to create software applications and data products (5+ years).
Experience working with ServiceNow‑Azure based Data Management Platform integrations (1+ year).
Experience in message queuing technologies, implementing message queuing using tools like ActiveMQ and Service Bus for scalable, asynchronous communication across distributed systems (3+ years).

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Tri‑global Solutions Group Inc.
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Tri-global Solutions Group Inc.