Role OverviewAs a Senior Data Architect, you'll lead the design and implementation of modern data platforms for enterprise clients across Energy, Financial Services, and Public Sector. You'll work directly with C-level stakeholders to translate business requirements into scalable, governed data architectures on Azure, Databricks, and Microsoft Fabric. Lead data architecture assessments and gap analysis for enterprise clients Design target-state architectures (lakehouse, data mesh, modern data warehouse) Create detailed technical roadmaps with phased implementation plans Develop governance frameworks: data cataloging, lineage, quality, security Lead discovery workshops and present architectural recommendations to executives Mentor junior consultants and provide technical oversight on projects Support sales team with technical discovery and proposal development Provide effort estimates and technical scoping for proposals Participate in industry conferences and networking events Write whitepapers and blog posts on data architecture topics Present at internal lunch-and-learns and training sessions Internal Projects (10%) Support development of training curriculum content Participate in strategic planning and service offerings refinement 8+ years in data architecture, engineering, or related roles 5+ years designing and implementing enterprise data platforms 3+ years with Azure data services (Data Lake, Synapse, Data Factory, Databricks)



Proven track record delivering 5+ large-scale data platform implementations Experience across multiple industries (Energy, Finance, or Public Sector preferred) Technical SkillsCloud PlatformsAzure (primary), AWS or GCP (secondary) Data PlatformsAzure Synapse, Databricks, Microsoft Fabric, Snowflake Data ModelingDimensional modeling, Data Vault 2.0, one big table patterns ProgrammingSQL (advanced), Python or Scala (intermediate) DevOpsGit, Azure DevOps, CI/CD pipelines BI ToolsPower BI, Tableau, or Looker Exceptional communication skills
- can explain complex technical concepts to non-technical stakeholders Microsoft Certified: Databricks Certified Data Engineer or Architect Experience with data mesh or up-to-date data architecture patterns Knowledge of AI/ML platform design Industry-specific domain knowledge (Oil & Gas, Banking, Government) 2 days/week in Calgary office, 3 days remote Flexible hours (core hours 10am-3pm MT) Modern downtown Calgary office with standing desks Home office setup allowance ($2,000) Work on cutting-edge Azure, Databricks, and AI projects Opportunity to contribute to training curriculum Contribute to training the next generation of data professionals Opportunity to work on projects that drive real business transformation Interview Process1 Phone Screen (30 min) 2 Technical Interview (90 min)

📌 Senior Data Engineer (Winnipeg)
🏢 Ripotek Technologies
📍 Winnipeg