Business Intelligence Architect

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

Business Intelligence Architect

Job Req : 1040

Division / Branch : /

Classification : Systems Analyst 4

Status : Permanent - FT

Salary : $86,011.41 - $126,456.47. Please note this salary range includes a modifier.

Reports to : Sunil Ravinder

Closing Date : February 8, 2026

JOB SUMMARY :

This is not a traditional BI role. This is a chance to design, build, and scale the data platforms that drive analytics, automations, AI, and mission-critical decisions. As a Business Intelligence Architect, you’ll be at the center of our data ecosystem - engineering reliable, high-performance pipelines and platforms that teams trust and leaders rely on.

You will design modern data platforms and analytics architectures, blending hands‑on engineering expertise with architectural leadership. This role blends deep technical execution with strategic architectural thinking, making it perfect for someone who wants to stay close to the technology while shaping the analytics vision of the AGLC iGaming Regulatory business and the enterprise.

• Define and maintain the enterprise BI and analytics architecture, from curated data layers to dashboards and self‑service analytics.
• Provide architectural guidance on BI tools and platforms.
• Architect, build, and optimize scalable data pipelines for structured and semi‑structured data using modern ELT / ETL patterns.
• Lead the architecture of enterprise data platforms (data warehouse, data lake, or lakehouse).
• Ensure performance, reliability, cost efficiency, and security across data ingestion and transformation layers.
• Establish standards for data engineering practices, including version control, testing, and monitoring.

Build for Scale, Speed, and the Future

Design the Data Foundation :

SKILLS & ABILITIES :

NOTE :

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