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Data Architect

Job in St. Albert, Edmonton, Alberta, Canada
Listing for: AGLC
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, Data Warehousing
Salary/Wage Range or Industry Benchmark: 112000 - 154000 CAD Yearly CAD 112000.00 154000.00 YEAR
Job Description & How to Apply Below
Location: St. Albert

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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$ - $ 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
  • 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 4years 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…
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