Senior Data Architect

Ripotek Technologies Inc.; Calgary; Ibrido; CAD 120.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Modern downtown Calgary office

Home office setup allowance

Latest MacBook Pro or Surface Laptop

Descrizione del lavoro

Ripotek Technologies Inc. is seeking a Senior Data Architect to lead the design and implementation of modern data platforms for enterprise clients across energy, finance, and public sector.

You will translate business requirements into scalable, governed architectures on Azure, Databricks, and Microsoft Fabric, collaborating with C-level stakeholders. Responsibilities include shaping target-state architectures, building governance frameworks, and mentoring consultants while ensuring compliance

Competenze

• 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).

Mansioni

• Lead data architecture assessments and gap analyses for enterprise clients.
• Design target-state architectures (lakehouse, data mesh, modern data warehouse).
• Develop governance frameworks: data cataloging, lineage, quality, security.
• Mentor junior consultants and provide technical oversight on projects.
• Support sales team with technical discovery and proposal development.
• Develop client-facing architecture diagrams and solution designs.
• Contribute to Ripotek's knowledge base and best practices.
• Stay current with emerging technologies and platform updates.
• Participate in hiring and interviewing candidates.

Conoscenze

Data architecture

Enterprise data platforms

Azure data services

Databricks

Governance

Stakeholder management

Mentoring

Communication

SQL

Python/Scala

Strumenti

Azure Purview

Collibra

Power BI

Tableau

Looker

Git

Azure DevOps

Descrizione del lavoro

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 environment - 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