alberta software architect Jobs – 126 Openings This Week

Senior Data Analyst (L4)
TELUS —Edmonton, AB
- $86,000–$136,000 a year
- Full-time
- English
- SQL
- Machine learning
Salesforce Consulting, Technical Senior Manager
Pwc Canada —Calgary, AB
- $168,000–$218,000 a year
- Full-time
- Hybrid work
- Salesforce
- DevOps
- Agile
OT System Architect
Chemtrade —Canada
- $150,000–$190,000 a year
- Full-time
- Computer Science
- Windows
- AWS
12h

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Senior Data Analyst (L4)

TELUS -
Edmonton, AB

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Job details

Full-time
$86,000–$136,000 a year

Qualifications

TensorFlow
PyTorch
English
Google Cloud Platform
Tableau
SQL
Machine learning
AI
Communication skills
Data warehouse
Python

Full job description

Location: Edmonton, AB, CA, T5J 0E5 Vancouver, BC, CA Toronto, ON, CA Calgary, AB, CA

Req ID: 54197

Jobs by Category: Technology Solutions

Job Function: Planning and Analysis

Status: Full Time

Schedule: Regular

Description

The Opportunity

We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights. This is a unique "growth-track" role: you will start by mastering our data landscape through advanced dashboarding and telemetry analysis, then rapidly transition into building and maintaining the predictive models that drive our customer success.

If you are someone who isn't just looking for a ticket to solve, but wants to understand the why behind the numbers to proactively prevent customer issues, you’ll fit right in.

The Roadmap

Phase 1 (Domain Mastery & KPI Strategy): You’ll dive deep into our telemetry and customer profile data. You will define the Key Performance Indicators (KPIs) that matter most and build high-impact Tableau dashboards to track them
Phase 2 (ML Innovation & Production): Once you’ve mastered the domain, you will lead the transition into predictive modeling. You will own the feature engineering process and deploy models that proactively solve customer issues

What You’ll Do

Dashboarding & Domain Learning: Initially, you will focus on building interactive and insightful Tableau dashboards. This is your foundation to learn our domain knowledge, understand customer behavior, and identify patterns in our telemetry data
Feature Engineering: Architect and transform raw telemetry and customer profile data into high-signal features. You will build the data pipelines that serve as the foundation for all ML initiatives
ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly detection, etc.). You are responsible for maintaining models in production, including setting up automated retraining pipelines to ensure accuracy as data evolves
Proactive Problem Solving: Use your technical expertise to identify potential customer friction points before they become issues, moving the company from a reactive to a proactive stance
KPI Development & Stakeholder Presentation: Collaborate with leaders to define critical business KPIs. You will act as a data storyteller, presenting key insights to executive stakeholders and translating complex ML/Data trends into clear, strategic recommendations

Qualifications

What You Bring

SQL Mastery: You write clean, efficient, and complex queries at an expert level. This is the core of how you interact with our data
BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards that drive action and help you (and the team) rapidly acquire domain knowledge
GCP Ecosystem: Strong experience with Google Cloud Platform, specifically BigQuery and its integration with ML tools
ML Ops Experience: Practical experience managing the production lifecycle, monitoring, versioning, and ensuring timely model retraining
The "Proactive" Edge: A strong desire to learn the business domain and grow with the company. You don't wait for instructions; you identify opportunities and solve problems before they escalate
Excellent Communication Skills: A proven track record of analyzing high-volume data and presenting key findings to senior-level audiences. You can explain complex technical concepts to non-technical stakeholders with ease

Preferred Qualifications (Good to Have)

GCP Professional Machine Learning Engineer Certification
Working knowledge of leveraging Claude in the workflows
Experience with Google Vertex AI or Kubeflow for ML orchestration
Background in analyzing high-volume telemetry or IoT data

Technical Stack

Languages: SQL (Expert), Python
Data Warehouse: Google BigQuery
Cloud Infrastructure: Google Cloud Platform (GCP)
Visualization: Tableau, Looker, Etc
ML Tools: Scikit-learn, TensorFlow/PyTorch, Vertex AI (GCP) , Claude (Anthropic)

Salary Range: $86,000-$136,000

Performance Bonus or Sales Incentive Plan: 15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn't match your expectations. We're open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:

Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
And much more …

Job Type: This is for a current vacancy

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world.

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

Apply Now

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software architect jobs in alberta

Senior Data Analyst (L4)

Salesforce Consulting, Technical Senior Manager

OT System Architect

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