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Added 17 mins ago
Software Dev Engineer, AFFS - ARS (Amortization Runtime Subledger)
Amazon
Vancouver, BC
As a Software Development Engineer, you'll design massively scalable distributed systems handling complex financial workflows. You'll work on services requiring low latency, high…
Added 32 mins ago
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Intermediate Electrical Engineer - Power Electronics
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Bedford, QC
- Full-time
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- Full-time
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- Full-time
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- $50,000 to $62,400 CAD / year
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Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Support sales team with technical discovery and proposal development
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Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Support sales team with technical scoping and estimation
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SUPERVISING FIELD ENGINEER (CIVIL ENGINEER V)
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QA Support Engineer
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Lead Transmission Line Engineer - Grid
Jobgether
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- $146,996 to $192,932 CAD / year
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Ripotek Technologies Inc.

Azure Solutions Consultant

Calgary, AB, Canada

Competitive salary: $95K-$130K based on experience · Full-time

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Job details

Pay: Competitive salary: $95K-$130K based on experience
Job type: Full-time
Apply by: Nov 8, 2026
Experience: 2+ years hands-on experience with Azure data services
Posting language: English
Posted: Oct 9, 2026

Original job description

Role Overview

As an Azure Solutions Consultant, you'll design and implement modern data platforms on Azure for enterprise clients. You'll build end-to-end data pipelines, implement lakehouses, and create governed analytics solutions using Azure Data Factory, Databricks, Synapse, and Microsoft Fabric. This is a hands-on technical role with client-facing responsibilities.

Key Responsibilities

Solution Delivery (65%)

Design and implement Azure data architectures (Data Lake, Synapse, Fabric, Databricks)
Build production-grade ELT pipelines using Azure Data Factory and Databricks
Implement medallion architecture (Bronze/Silver/Gold layers) with Delta Lake
Design and optimize data models (star schema, dimensional modeling)
Configure security, access controls, and data governance (Azure Purview)
Implement CI/CD pipelines for data workflows using Azure DevOps
Troubleshoot performance issues and optimize pipeline/query performance
Create technical documentation (architecture diagrams, runbooks, data dictionaries)
Provide knowledge transfer to client teams

Client Engagement (25%)

Participate in discovery workshops to understand requirements
Present technical solutions and recommendations to stakeholders
Collaborate with client data teams, architects, and business users
Manage client expectations and communicate project status
Support sales team with technical scoping and estimation
Gather feedback and iterate on solutions

Professional Development (10%)

Stay current with Azure updates and new service releases
Pursue Microsoft certifications (Azure Data Engineer, Solutions Architect)
Contribute to internal knowledge sharing (demos, documentation)
Mentor junior consultants
Participate in community events and conferences

Experience

Required Qualifications

4+ years in data engineering, cloud engineering, or BI development
2+ years hands-on experience with Azure data services
Delivered 3+ end-to-end data platform implementations
Experience with both on-premises and cloud data technologies
Track record of working directly with clients or business stakeholders

Technical Skills

Azure Data Services

Data Factory, Data Lake Gen2, Synapse Analytics, Databricks

Programming

SQL (advanced), Python (intermediate), Scala (nice to have)

Data Orchestration

ADF pipelines, Databricks workflows, Azure Functions

Data Modeling

Dimensional modeling, star schema, slowly changing dimensions

Version Control

Git, Azure Repos, GitHub

Ci/Cd

Azure DevOps, GitHub Actions, deployment pipelines

Power BI

Basic to intermediate (connecting to data sources, simple reports)

Infrastructure As Code

ARM templates, Terraform, or Bicep (nice to have)

Soft Skills

Strong communication skills (technical and non-technical audiences)
Problem-solving mindset and troubleshooting abilities
Self-directed and able to manage multiple priorities
Comfortable with ambiguity and changing requirements
Team player with collaborative approach
Eagerness to learn and adapt to new technologies

Preferred Qualifications

✓Microsoft Certified: Azure Data Engineer Associate (DP-203)
✓Microsoft Certified: Azure Solutions Architect Expert
✓Databricks Certified Data Engineer Associate
✓Experience with Microsoft Fabric (OneLake, Data Factory, Synapse)
✓Knowledge of data governance tools (Azure Purview, Collibra)
✓Familiarity with streaming data (Event Hubs, Stream Analytics, Kafka)
✓Previous consulting or professional services experience
✓Domain expertise in Energy, Finance, or Public Sector

What We Offer

Compensation & Benefits

Competitive salary: $95K-$130K based on experience
Annual performance bonus (10-15% of salary)
RRSP matching (4% of salary)
Comprehensive health, dental, and vision benefits
Professional development budget ($3,500/year)
Certification exam fees and training covered

Work Environment

Hybrid: 2 days/week in Calgary office, 3 days remote
Flexible hours (core hours 10am-3pm MT)
Latest MacBook Pro or Surface Laptop
Home office setup allowance ($1,500)
Downtown Calgary office with collaborative spaces

Growth & Development

Work on diverse projects across industries
Mentorship from senior architects and principals
Clear career progression (Consultant → Senior Consultant → Architect)
Opportunity to specialize (Databricks, Fabric, AI/ML)
Exposure to pre-sales and client management
Internal training on new Azure services and best practices

Culture

Collaborative, low-ego team environment
Direct impact on client success
Knowledge-sharing culture (lunch-and-learns, demos)
Supportive of work-life balance
Small company - your voice matters

Interview Process

1

Phone Screen (30 min)

HR and technical lead

2

Technical Interview (90 min)

Azure architecture and pipeline design questions

3

Coding Challenge (take-home, 2-3 hours)

Build a simple ELT pipeline

4

Client Scenario (45 min)

Present solution to mock client problem

5

Team Fit (30 min)

Meet with team members

Timeline:2-3 weeks from application to offer

Ready to Build Modern Data Platforms?

Join our team and work on cutting-edge Azure solutions for enterprise clients.

Apply About employer

More about this job

Responsibilities

Design and deliver Azure-based data platforms, including end-to-end ELT pipelines, lakehouses, governed analytics, data models, and CI/CD workflows. Lead client discovery and technical discussions, troubleshoot and optimize solutions, document architectures, and support knowledge transfer.

Requirements

Requires 4+ years of experience in data engineering, cloud engineering, or BI development, including 2+ years hands-on with Azure data services and delivery of at least three end-to-end data platform implementations. Candidates should have advanced SQL, intermediate Python, experience with client or business stakeholders, and strong communication and problem-solving skills; relevant Microsoft or Databricks certifications are preferred.

Skills

Azure Data Factory
Azure Data Lake Gen2
Azure Synapse Analytics
Azure Databricks
Microsoft Fabric
SQL
Python
Data Modeling
Dimensional Modeling
Delta Lake
Azure DevOps
CI/CD
Data Governance
Power BI
Terraform
Client Engagement

Benefits

Annual Performance Bonus
RRSP Matching
Health Benefits
Dental Benefits
Vision Benefits
Professional Development Budget
Certification Exam Fees and Training
Flexible Hours
Home Office Setup Allowance

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure Data Lake Gen2
Azure Synapse Analytics
Azure Databricks
Microsoft Fabric
OneLake
Delta Lake
Medallion Architecture
ELT Pipelines
SQL
Python
Scala
Dimensional Modeling
Star Schema
Slowly Changing Dimensions
Azure DevOps
GitHub Actions
CI/CD
Azure Purview
Collibra
Power BI
Terraform
ARM Templates
Bicep
Event Hubs
Stream Analytics
Kafka
Azure Data Engineer Associate
Databricks Certified Data Engineer Associate

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