Role Overview
As 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.

Key Responsibilities
Client Delivery (60%)

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

Architect end-to-end solutions: ingestion, storage, processing, consumption layers

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

Ensure solutions align with industry best practices and compliance requirements (GDPR, PIPEDA, SOC 2)

Pre-Sales & Business Development (20%)

Support sales team with technical discovery and proposal development

Develop client-facing architecture diagrams and solution designs

Provide effort estimates and technical scoping for proposals

Present capabilities and case studies to prospective clients

Participate in industry conferences and networking events

Thought Leadership (10%)

Contribute to Ripotek's knowledge base and best practices

Mentor team members on architecture patterns and methodologies

Stay current with emerging technologies and platform updates

Write whitepapers and blog posts on data architecture topics

Present at internal lunch-and-learns and training sessions

Internal Projects (10%)

Contribute to Ripotek's internal IP development (accelerators, frameworks, templates)





Participate in hiring and interviewing candidates

Support development of training curriculum content

Participate in strategic planning and service offerings refinement

Experience
Required Qualifications

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 Skills
Cloud Platforms
Azure (primary), AWS or GCP (secondary)

Data Platforms
Azure Synapse, Databricks, Microsoft Fabric, Snowflake

Data Modeling
Dimensional modeling, Data Vault 2.0, one big table patterns

Architecture Frameworks
TOGAF, Zachman, or similar

Governance Tools
Azure Purview, Collibra, or similar

Programming
SQL (advanced), Python or Scala (intermediate)

DevOps
Git, Azure DevOps, CI/CD pipelines

BI Tools
Power BI, Tableau, or Looker

Soft Skills

Exceptional communication skills - can explain complex technical concepts to non-technical stakeholders

Strong facilitation skills for workshops and discovery sessions

Proven ability to influence and gain stakeholder buy-in

Experience managing client relationships and expectations

Comfortable presenting to C-level executives

Self-motivated with ability to work independently





Strong problem-solving and critical thinking skills

Preferred Qualifications

Microsoft Certified: Azure Solutions Architect Expert

Databricks Certified Data Engineer or Architect

TOGAF 9.2 certification

Experience with data mesh or modern data architecture patterns

Knowledge of AI/ML platform design

Prior consulting experience (Big 4, boutique firm, or independent)

Industry-specific domain knowledge (Oil & Gas, Banking, Government)

What We Offer
Work Environment

Hybrid model: 2 days/week in Calgary office, 3 days remote

Flexible hours (core hours 10am-3pm MT)

Modern downtown Calgary office with standing desks

Latest MacBook Pro or Surface Laptop

Home office setup allowance ($2,000)

Growth & Development

Work on cutting-edge Azure, Databricks, and AI projects

Exposure to diverse industries and use cases

Mentorship from seasoned architects (15-20+ years experience)

Opportunity to contribute to training curriculum

Clear path to Principal Architect and leadership roles

Conference attendance and speaking opportunities

Culture & Impact

Small team workplace - your impact is visible and valued

Direct client interaction - you own the relationship

Collaborative, low-ego culture focused on client success

Contribute to training the next generation of data professionals

Opportunity to work on projects that drive real business transformation

Interview Process
1 Phone Screen (30 min)

HR and hiring manager

2 Technical Interview (90 min)

Whiteboard architecture design exercise

3 Case Study Presentation (60 min)

Present solution to mock client scenario

4 Culture Fit (45 min)

Meet with leadership and peers

5 Reference Checks

3 professional references

Timeline:2-3 weeks from application to offer

#J-18808-Ljbffr

📌 Senior Data Architect (Alberta)
🏢 Ripotek Technologies
📍 Alberta