CV/RESUME SUBMISSION MUST INCLUDE

ALL REQUIRED EXPERIENCE MUST BE DESCRIBED IN RESUME UNDER THE JOB/PROJECT WHERE EXPERIENCE WAS ATTAINED.

EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY.

RESOURCE REFERENCES - Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first. Reference checks may or may not be completed to assist with scoring of the proposed resource.

REHERENCE NAME

REFERENCE CURRENT TITLE & ORGANIZATION (Canadian preferred):

REFERENCE EMAIL

REFERENCE CELL #

REFERENCE PROFESSIONAL RELATION WITH YOU:

ALSO, FILL OUT THE MATRIX AT THE FOLLOWING LINK AND SEND IT AS A SEPARATE ATTACHMENT TO THE OTHER INFORMATION REQUIRED ABOVE https://docs.google.com/document/d/10we7012jGnAjJK8q1uo-EWvR4MVcJMprUuwNGWSAjlE/edit?usp=sharing Project Name: Digital Regulatory Assurance System

Scope:Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized. DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes.

DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise.

The Data Product

Analyst role is critical to ensuring that modernization delivers tangible business value. This role 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 that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

The Data Product

Analyst provides operational support and continuous improvement (CI) services for DRAS data products and platform solutions.



The role focuses on ensuring the ongoing reliability, availability, and performance of DRAS data assets, integrations, reports, and analytics products. Duties:

Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria

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.

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 and downstream consumption.

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 Equipment Requirements:

The Contractor is responsible for supplying all equipment necessary for remote work, including computers, software, printers, supplies, and appropriate office furniture.

All contracted resources must utilize a computer with a contemporary version of Windows or macOS compatible with Azure Virtual Desktop (AVD) and related remote-access software. Windows is strongly preferred due to system compatibility. Required remote-access software will be installed on the resource's local machine.

While the Contractor supplies all physical hardware and work environment setups, the Province will ensure resources are granted the required credentials and access to Government of Alberta systems.

Working

Hours

Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province

Work must be done from within Canada, due to network and data security issues.

The role is primarily remote, however in the event of an onsite meeting, the GoA does not pay for travel to attend on-site meetings, nor any expenses related to relocation, commuting, housing/accommodation, food/drink. Notes on Location:

The resource will primarily work remotely but must be available for on-site meetings as required. These meetings may involve strategic, analytical, or technical discussions and may include engagement with team members, senior managers, directors, executive directors, or business clients.

On-Site Meeting Frequency:

Meetings may occur up to 3–4 times (or more) per fiscal month, but the actual frequency will depend on the specific initiative and will be determined on an on-demand basis.

In office Location:

Meetings will take place in Edmonton, Alberta, at one of the Government of Alberta buildings. The resource will be provided with details regarding the meeting location in advance.

This policy ensures flexibility for remote work while maintaining the ability to collaborate effectively during key on-site engagements. However, time to travel and any associated expenses to and from Edmonton and/or travel within Alberta will be at no cost to the Province.

Background Check Required

Standard Background Check

- The resource upon selection shall, prior to commencement of the Services, provide the Province, on its request and at no cost to the Province, with criminal record checks.

📌 Data Engineer DRAS - Senior (Canada)
🏢 Emmaculate Global
📍 Canada