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Added 8 mins ago
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AGLC

Senior Data Engineer

AB, Canada
Edmonton, AB, Canada

Pay: The salary range for this position is $102,768.00 - $141,306.00 annually.
Job type: Full-time
Apply by: Oct 8, 2026
Experience: 4+ years of experience in data engineering, business intelligence, or data architecture, ideally in complex enterprise environments.
Posting language: English
Posted: Sep 29, 2026

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Original job description

ABOUT AGLC

Alberta Gaming, Liquor & Cannabis (AGLC) is a dynamic organization leading Alberta’s gaming, liquor and cannabis industries. Our team of high performers is driven to provide our customers with outstanding service and Albertans with choices they can trust.

ABOUT INFORMATION TECHNOLOGIES

IT proudly provides the computer systems, security, IT services and governance that support AGLC’s businesses, including the operation & support of mission critical gaming, liquor and corporate systems running on a variety of computing platforms. IT ensures the stability and performance of a Local/Wide Area Network, which supports over 1,200 gaming locations and more than 2,000 computers/tablets, 150 physical and 2,000 virtual servers distributed across six corporate offices, casinos, RECs and bingo halls. IT provides leadership in the use of information technology, data and systems to help the AGLC achieve business goals and objectives.

ABOUT THE POSITION

Senior Data Engineer

Job Req: 1324

Location: St. Albert - Corriveau

Division/Branch: Information Technology / Enterprise Architecture and Security

Classification: Senior Professional III

Status: Permanent - FT

The salary range for this position is $102,768.00 - $141,306.00 annually. New employees are typically hired between the minimum and midpoint of the range, depending on qualifications, experience, competencies, and internal equity considerations.

Reports to: Sunil Ravinder

Closing Date: October 8, 2026

JOB SUMMARY:

The AGLC is advancing its enterprise data capabilities to better support regulatory excellence, informed decision‑making, and innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable analytics platforms across the organization.

This is not a traditional BI developer role. It is a senior, strategic position responsible for defining and guiding the enterprise‑wide architecture that supports data, analytics, AI/ML, governance, and business intelligence. You will combine hands‑on technical knowledge with strong architectural leadership to build trusted, high‑performing data solutions used across the AGLC.

What You Will Do:

Design and Engineer Enterprise Data & Analytics Solutions

Define, evolve, and maintain AGLC’s enterprise BI and analytics architecture, ensuring consistent data models, standards, and practices across business areas.
Design integrated data platforms- including data warehouse, data lake/lake house- and ensure they support analytics, reporting, and emerging use cases such as AI/ML.
Lead the development of enterprise data reference architectures, patterns, and roadmaps aligned with corporate priorities.

Advance Modern Data Engineering & Platform Capabilities

Architect and oversee scalable data pipelines using modern ELT/ETL patterns, with strong emphasis on Databricks and Azure data services.
Ensure AGLC’s data platforms meet requirements for security, performance, reliability, cost effectiveness, and regulatory compliance.
Provide architectural oversight for CI/CD, DevOps and release processes within the data engineering environment.

Collaborate, Influence & Drive Business Outcomes

Work closely with enterprise and solution architects, business units, project teams, and vendors to deliver high value data solutions.
Translate business strategies and regulatory requirements into architectural designs that enable measurable outcomes.
Contribute to architecture review processes, vendor evaluations, and cross jurisdiction initiatives.
Provide leadership, mentorship, and guidance to technical teams, consultants, and other partners.

SKILLS & ABILITIES:

Degree in Computer Science, Information Systems, or related field.
4+ years of experience in data engineering, business intelligence, or data architecture, ideally in complex enterprise environments.
Strong hands‑on experience with the Databricks platform and modern data engineering tools.
Proficiency in Python and Apache Spark.
Solid understanding of data modelling (relational, dimensional, and domain‑driven approaches).
Experience with Microsoft BI Stack (SSIS, SSRS) and Power BI, Tableau, or similar BI tools.
Knowledge of cloud‑based data platforms such as Azure Synapse Analytics or Microsoft Fabric.
Familiarity with architectures supporting AI/ML capabilities.
Assets include:
Databricks, Power BI, or Azure data engineering certifications.
TOGAF or DAMA CDMP certification.

NOTE:

To be eligible to work for AGLC, you must be a Canadian citizen, permanent resident or eligible to work in Canada.
As a condition of employment, you will be required to obtain a satisfactory security clearance and clean drivers abstract (if necessary) prior to employment.
This recruitment may be used to fill future vacancies.
AGLC is committed to creating a diverse environment and is proud to be an equal opportunity employer.
At AGLC, we believe compensation is more than base salary. We invest in our employees through competitive pay, comprehensive benefits, learning and development opportunities, and rewarding careers.

Apply About employer

More about this job

Responsibilities

Define and guide enterprise data and analytics architecture, including integrated data warehouse and lakehouse platforms, reference architectures, and scalable Databricks and Azure data pipelines. Ensure data solutions meet security, performance, reliability, cost, and regulatory requirements while collaborating with stakeholders, guiding technical teams, and supporting architecture reviews and vendor evaluations.

Requirements

A degree in Computer Science, Information Systems, or a related field and at least four years of experience in data engineering, business intelligence, or data architecture are required. Candidates should have hands-on Databricks experience, proficiency in Python and Apache Spark, data modeling knowledge, and familiarity with BI tools, Azure data platforms, and architectures supporting AI/ML.

Skills

Databricks
Python
Apache Spark
Data Engineering
Data Architecture
Business Intelligence
Data Modeling
ETL/ELT
Azure Data Services
Azure Synapse Analytics
Microsoft Fabric
Power BI
Tableau
SSIS
SSRS
CI/CD

Benefits

Competitive Pay
Comprehensive Benefits
Learning And Development Opportunities

Visa sponsorship

Not detected in the job text

Hiring contact

Sunil Ravinder

Keywords

Enterprise Data Architecture
Analytics Architecture
Data Warehouse
Data Lake
Lakehouse
Databricks
Azure Data Services
Azure Synapse Analytics
Microsoft Fabric
Python
Apache Spark
ETL
ELT
Data Modeling
Relational Modeling
Dimensional Modeling
Domain-Driven Design
Microsoft BI Stack
SSIS
SSRS
Power BI
Tableau
AI/ML
CI/CD
DevOps
Data Governance
Regulatory Compliance
TOGAF
DAMA CDMP
Enterprise Architecture

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