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Senior Data Analytics Engineer Jobs in Alberta (NOW HIRING)

SMS Equipment

Senior Data & AI Architect

Acheson, AB · On-site

SMS Equipment is seeking a strategic and technically accomplished Senior Data & AI Architect to ... Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Analytics ...

Spgi

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Spgi

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Seequent

Senior Data Scientist

Calgary, AB · Hybrid

Analyze user challenges and workflows to deeply integrate into all aspects of designing ... Programming and use of tools related to our area of practice such as: Python, PyTorch. * Experience ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB · On-site

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced ...

Krux Analytics

Data Architect

Calgary, AB · On-site

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

KPMG

Data Support Senior Consultant

Calgary, AB · On-site

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

KPMG

Data Support Senior Consultant

Edmonton, AB · On-site

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Sinopec Canada

Senior Production Engineer

Calgary, AB · On-site

Senior Production Engineer About Sinopec Sinopec Canada is a wholly-owned subsidiary of a major ... Utilize data analytics (PowerBI) for well monitoring, optimization and reporting. * Provide ...

Hexagon

Business & Data Analyst

Calgary, AB · Hybrid

... engineering and manufacturing company that is committed to customer service excellence and ... Reporting to Senior Manager, Commerce Operations in the Commerce Systems team, you will interact ...

Hexagon

Business & Data Analyst

Calgary, AB · Hybrid

... engineering and manufacturing company that is committed to customer service excellence and ... Reporting to Senior Manager, Commerce Operations in the Commerce Systems team, you will interact ...

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Showing results 21-40

All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Alberta

Senior Data Analytics Engineer information

See Alberta salary details

$91.5K

$144.1K

$179.5K

How much do senior data analytics engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data analytics engineer in Alberta is $144,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are popular job titles related to Senior Data Analytics Engineer jobs in Alberta?

For Senior Data Analytics Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Alberta look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Alberta are:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $144,120 per year, or $69.3 per hour.

Senior Data & AI Architect

Acheson, AB • On-site

SMS Equipment
Manufacturing • 1 - 5K employees
Learn more about SMS Equipmentexternal

Full-time

Posted 14 days ago

Key responsibilities

  • Lead the design and evolution of enterprise Data & AI architecture supporting business intelligence, analytics, machine learning, generative AI, optimization, and simulation solutions.

  • Develop architecture standards, integration patterns, and technology roadmaps aligned with enterprise architecture principles, business objectives, and technology standards.

  • Design scalable Data & AI platforms supporting data ingestion, quality management, feature engineering, model development, deployment, monitoring, and continuous improvement through DataOps, MLOps, and LLMOps.

Job description

SMS Equipment is seeking a strategic and technically accomplished Senior Data & AI Architect to lead the design and implementation of the organization's enterprise Data & AI architecture. In this role, you will enable scalable analytics, AI-driven solutions, and enterprise-wide adoption of generative AI capabilities while supporting business transformation through data, artificial intelligence, and advanced analytics initiatives. 

Working closely with the Director, Artificial & Business Intelligence, enterprise architecture teams, business stakeholders, OEM partners, and customers, you will ensure Data & AI platforms align with business strategy, enterprise technology standards, security frameworks, and responsible AI governance practices. 

Work Location: Acheson, AB 
Work Arrangement: Hybrid or Fixed On-Site 
Schedule: 8:00 am to 4:30 pm 

What You'll Do 

  • Lead the design and evolution of enterprise Data & AI architecture supporting business intelligence, analytics, machine learning, generative AI, optimization, and simulation solutions. 
  • Develop architecture standards, integration patterns, and technology roadmaps aligned with enterprise architecture principles, business objectives, and technology standards. 
  • Define architectural approaches for Microsoft Copilot, knowledge assistants, vector databases, Retrieval Augmented Generation (RAG), and emerging agentic AI systems. 
  • Design scalable Data & AI platforms supporting data ingestion, quality management, feature engineering, model development, deployment, monitoring, and continuous improvement through DataOps, MLOps, and LLMOps. 
  • Support Data Governance, Responsible AI, compliance, model lifecycle management, and evaluation of emerging technologies across AI, analytics, and data ecosystems. 
  • Partner with business leaders to identify Data, AI, and Business Intelligence opportunities while mentoring Data Scientists, BI Analysts, and AI Engineers and fostering innovation, collaboration, and continuous improvement. 

What You Bring 

You are an experienced technology leader with deep expertise in enterprise Data & AI architecture, cloud platforms, analytics ecosystems, and business transformation. You possess strong strategic thinking, technical leadership, and stakeholder engagement skills, with the ability to translate business needs into scalable and governed solutions. 

Additional qualifications include: 

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, Analytics, or related discipline. 
  • 5+ years of experience in Data Architecture, AI Architecture, Business Intelligence, Analytics, or Enterprise Technology Leadership. 
  • Strong expertise in modern data architectures, cloud-native platforms, and tools such as Microsoft Fabric, Azure AI, Azure Databricks, Azure Synapse Analytics, Power BI, and Copilot Studio. 
  • Experience designing scalable AI, machine learning, and generative AI solutions within governed enterprise environments. 
  • Knowledge of Responsible AI, data governance, privacy, compliance, and enterprise architecture principles. 
  • Demonstrated ability to build technology roadmaps, align architecture strategies with business objectives, and mentor technical teams. 

Nice to Haves 

  • Bilingual English and French 
  • Enterprise-wide AI transformation experience 
  • Experience with Microsoft Copilot, RAG, knowledge assistants, or agentic AI 
  • Industry experience in mining, construction, heavy equipment, energy, forestry, or industrial operations 
  • Relevant certifications in cloud, AI, data engineering, enterprise architecture, or analytics 

This position is classified as an Individual Contributor role in SMS Equipment’s competency framework, requiring demonstration of core competencies (customer focus, collaboration, and technical/functional expertise). 

At SMS Equipment, safety is one of our core values and we care for each other, without exception. Our successful candidate is intrinsically motivated and committed to making safe choices when completing all tasks. 

This posting is for an existing vacancy within SMS Equipment. Applications will be accepted until a suitable candidate is hired. 

We thank all applicants for their interest. Only those selected to proceed to the next stage of the recruitment process will be contacted. 

At SMS Equipment, the right partnership makes everything possible. We're committed to building a diverse and inclusive team and encourage applications from all qualified individuals. Join us and bring your expertise to an organization that values safety, authenticity, innovation, performance, and respect. 

SMS Equipment offers rewarding careers in the heavy equipment industry across Canada. As the largest Komatsu dealer in North America, SMS Equipment gives you the opportunity to represent world-class quality in our product offerings and customer service. A few of the many benefits of working with SMS Equipment include competitive wages, comprehensive group benefits plan, and RRSP matching. 

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