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Added 1 min ago
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AGLC

Data Architect

AB, Canada
Edmonton, AB, Canada

Pay: The salary range for this position is $111,919.00 - $153,889.00 annually.
Job type: Full-time
Apply by: Oct 18, 2026
Experience: Minimum of 4 years of experience in developing and supporting enterprise data management solutions and practices.
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

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

Data Architect

Job Req: 1320

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 $111,919.00 - $153,889.00 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 18, 2026

JOB SUMMARY:

This is not a “keep-the-lights-on” role. This is a chance to build the data foundation that everything else depends on - applications, platforms, analytics, AI, automation, and decisions that move the needle.

You’ll operate at the intersection of strategy, architecture patterns and modern technology, turning complex data landscapes into elegant, scalable solutions.

You will define and evolve the data architecture that underpins business operations, enabling consistent, governed, reusable and well-architected data across the AGLC business and the enterprise.

Lead Through Influence:

Translate business vision into practical, high‑impact data architecture solutions
Provide architectural leadership across projects and initiatives
Communicate complex ideas clearly - whether presenting to executives, business, or analysts

Turn Data Architecture into an Enabler:

Embed data architecture, data governance, lineage, and quality directly into business case and architecture - not as afterthoughts
Ensure data solutions meet privacy, security, and regulatory requirements without slowing delivery
Champion data standards and data dictionaries that make information trusted, reusable, and easy to find

Drive Continuous Evolution:

Define reference architectures, reusable patterns, and architecture roadmaps
Identify opportunities to modernize legacy applications and reduce technical debt
Stay ahead of emerging trends in cloud, analytics, data engineering, and AI

Design the Data Foundation:

Architect enterprise‑wide data solutions for applications, platforms, analytics to enable digital transformation
Design and present data domains that bring clarity and consistency to complex data structures and relationships

SKILLS & ABILITIES:

Degree in Computer Science or related discipline or related experience.
Minimum of 4 years of experience in developing and supporting enterprise data management solutions and practices.
Strong understanding of data modeling concepts and tools, with the ability to assess model quality and enforce data standards.
Strong knowledge and experience with Master Data Management (MDM)
Strong knowledge and experience with Data Governance concepts and its practical implementation.
In depth knowledge and experience of data quality principles, practices, tools and methodologies.
Experience with PowerBI, Tableau software and/or other data visualization and BI tools.
Ability to communicate effectively and collaborate seamlessly with business units.
The following will be considered assets:
Experience with Informatica Master Data Management
Experience with architectures and platform designs around AI / ML.
Certifications related to Data quality, Data governance, Data management
TOGAF, DAMA Certified Data Professional (CDMP) certification
Experience with Data observability

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 evolve enterprise data architecture, including data domains, reference architectures, reusable patterns, and roadmaps that support business operations, analytics, AI, and digital transformation. Provide architectural leadership across initiatives while embedding governance, lineage, quality, privacy, security, and regulatory requirements into data solutions.

Requirements

Requires a degree in Computer Science or a related discipline, or equivalent related experience, and at least four years of experience developing and supporting enterprise data management solutions and practices. Candidates should have strong expertise in data modeling, Master Data Management, data governance, and data quality, along with experience using BI and visualization tools and collaborating with business units.

Skills

Data Architecture
Enterprise Data Management
Data Modeling
Master Data Management
Data Governance
Data Quality
Data Visualization
Power BI
Tableau
Data Standards
Data Lineage
Data Security And Privacy
Enterprise Architecture
Artificial Intelligence And Machine Learning
Data Observability
Stakeholder Communication

Benefits

Comprehensive Benefits
Learning And Development Opportunities

Visa sponsorship

Not detected in the job text

Hiring contact

Sunil Ravinder

Keywords

Data Architecture
Enterprise Architecture
Enterprise Data Management
Data Modeling
Master Data Management
Informatica Master Data Management
Data Governance
Data Quality
Data Lineage
Data Standards
Data Dictionaries
Data Domains
Reference Architectures
Architecture Roadmaps
Power BI
Tableau
Business Intelligence
Data Visualization
Artificial Intelligence
Machine Learning
Cloud
Data Engineering
Data Observability
TOGAF
DAMA Certified Data Professional
Privacy
Security
Regulatory Compliance
Technical Debt
Digital Transformation

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