Senior Data Engineer, Machine Learning (Remote)
Ripotek Technologies Inc.
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 modern 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)
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