Alberta Energy Regulator (AER)
Energy
EnterpriseDataModeler
Neural analysis suggests this role is
optimal for Senior candidates.
“Enterprise Data Modeler at Alberta Energy Regulator (AER). Skills: Enterprise Data Modeler, Business Information Model, Data Modeling. Define and evolve Enterprise Business Information Model. Translate Business Information Model into conceptual and logical data models”
Industry & Context.
legally entitled to work in Canada, pre-employment background screening, criminal record check
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Information Systems, 8+ years of progressive experience in enterprise data modeling, leading organization-wide conceptual and logical model development initiatives, define and evolve business information models by working directly with domain experts, alignment between business semantics and enterprise data design, enterprise modeling tools such as ER/Studio, Microsoft Visio, data modeling practices within complex, regulated environments, establishing and promoting enterprise modeling standards, naming conventions, metadata structure, semantic consistency
Nice to Have
energy, oil and gas, government sector, Data Lakehouse using Databricks
What You'll Do.
Define and evolve Enterprise Business Information Model
Translate Business Information Model into conceptual and logical data models
Drive semantic alignment across business and technical teams
Coordinate with Data and Solution Practice Leads
Collaborate with project Data Modellers and Architects
Support Lakehouse data architecture implementation
Serve as subject matter expert on data modeling practices
Contribute to architecture governance
How You'll Work.
Team & Collaboration
close partnership with business stakeholders; semantic alignment across business and technical teams; Collaborate with project Data Modellers and Architects; collaborating with data engineers and architects; mentoring architects and analysts; participating in design reviews
Communication Scope
influence senior stakeholders; bridge gaps between business and technical teams
Full Job Description
**Location:** Calgary, Alberta **Employment Type:** Full Time – Permanent **Salary Range:** SP4, Level 6. The final compensation for this position will be determined based on individual factors, including education, qualifications, experience, and internal equity. **Enterprise Data Modeler - Hybrid** **The Opportunity** The Alberta Energy Regulator (AER) is seeking an Enterprise Data Modeler who will play a key role in advancing our organization's data modeling practices and ensuring semantic consistency in business information and systems. This senior individual contributor role will be instrumental in developing our business information model and transforming it into both conceptual and logical data designs, guaranteeing smooth integration across various systems, platforms, and analytical environments - including our Data Hub built on medallion architecture. You will oversee the standardization and semantic alignment of data definitions among various business units, direct the conversion of system-level data into models suitable for enterprise use, and assist with integration into the analytics platform. This strategic and technically demanding position involves close collaboration between business and technology teams to promote consistency, build trust in data, and maintain model integrity throughout the organization. **What your day-to-day will look like:** * Define and evolve the Enterprise Business Information Model in close partnership with business stakeholders, ensuring it reflects core business concepts, relationships, and semantics across domains. * Translate the Business Information Model into conceptual and logical data models, enabling consistent, scalable design for transactional, operational and analytics integration. * Drive semantic alignment across business and technical teams, maintaining shared data definitions, taxonomies and supporting the adoption of a unified enterprise vocabulary. * Coordinate with the Data and Solution Practice Leads t
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