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Data Architect Jobs in Alberta (NOW HIRING)

Lantern

Data Architect

Edmonton, AB

Data Architect We are seeking an experienced Data Architect to join our team at Lantern. In this role you will play a crucial role in designing and implementing solutions that drive business insights ...

Krux Analytics

Data Architect

Calgary, AB · On-site

Data Architect At Krux, Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience.

Krux Analytics

Data Architect

Calgary, AB · On-site

Salary: Data Architect At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life ...

Krux Analytics Inc.

Data Architect

Calgary, AB · On-site +1

Data Architect At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience. We ...

TELUS

Data Scientist

Edmonton, AB · On-site

Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs.

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Data Architect information

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How much do data architect jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data architect in Alberta is $65.18, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $75.00 per hour, depending on experience, location, and employer.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure, including data models, databases, and data integration systems. They ensure data is stored securely, efficiently, and is accessible for analysis and decision-making, often using tools like SQL, cloud platforms, and data modeling software.

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

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills valuable across many industries.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

More about Data Architect jobs
What are the most commonly searched types of Data Architect jobs in Alberta? The most popular types of Data Architect jobs in Alberta are:
What are popular job titles related to Data Architect jobs in Alberta? For Data Architect jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Architect jobs in Alberta look for? The top searched job categories for Data Architect jobs in Alberta are:
What are popular job titles related to Data Architect jobs in AB? For Data Architect jobs in AB, the most frequently searched job titles are:
Data Architect jobs near you
Infographic showing various Data Architect job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $135,570 per year, or $65.2 per hour.

Data Architect

Lantern

Edmonton, AB

Full-time

Re-posted yesterday

Job description

Data Architect 

We are seeking an experienced Data Architect to join our team at Lantern. In this role you will play a crucial role in designing and implementing solutions that drive business insights for our clients. This role will be a key resource in our Business Analytics Practice. This role will be client facing, innovating with solutions from the Microsoft Data Platform stack including Fabric, Azure Synapse, Power BI, and SSAS.

The primary objective of this role is to assist our clients in establishing a data platform and data culture that enables them to leverage advanced reporting, analytics, and AI. The Data Architect will be responsible for working with our clients to understand their business and technical requirements, architecting analytics solutions, and providing technical guidance to our consulting team.

Key Responsibilities

Strategic Advisory, Technical Advisory, and Solution Architecting
Collaborate with customers to understand their business needs, data challenges, and technical requirements.
Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics, reporting, and machine learning.
Conducting customer-facing strategic workshops and assessments of existing data platforms to create recommendations on how to best modernize their data platform using the Fabric and Azure Synapse.
Architect end-to-end solutions that align with customer goals and maximize Fabric and Power BI capabilities.
Solution Development
Creating highly performant and scalable Data Warehouses and Lakehouses using Microsoft Fabric and Azure Synapse.
Designing and building scalable and efficient data pipelines using Data Factory.
Adding data validation and quality checks throughout data pipelines.
Developing enterprise grade Power BI / Analysis Services semantic models.
Optimizing existing ETL process and data transformations.
Create technical documentation for solutions that have been built.
Troubleshoot production systems, address technical issues, etc.
Team leadership
Staying up-to-date on the latest features and capabilities being released across Microsoft Fabric.
Coaching team members around Microsoft Data Platform technology stack.
Assisting in technical Sales conversations.
Create growth and opportunity for our clients utilizing technical solutions from our partner, Microsoft.

Skills, Knowledge and Expertise

Has strong consulting skills gained through experience in a consulting organization.
Excellent communication and customer service skills.
Proven track record of working closely with clients to determine their needs and ensure their ongoing satisfaction.
Genuine interest and ability to quickly switch between multiple clients and initiatives on a frequent basis.
Experience in Agile software development as a team member.
Strong meeting facilitation skills.
Experience in all phases of product, software, and testing lifecycles.
Able to serve as a liaison between both business and technical teams
Strong proficiency in T-SQL and Data Warehousing
Strong proficiency in Apache Spark and Delta Lake for Data Engineering
Strong proficiency in Fabric or Azure Data Factory pipelines
DAX, M/Power Query
Data modeling - Kimball dimensional modeling, semantic/tabular models.

Benefits
  • A culture that both wows our customers and employees; 
  • Variety of challenging projects, and the ability to work with leading-edge technologies; 
  • Competitive salary & group benefits; 
  • Generous training and education opportunities; 
  • Diverse team social events;
  • Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

Apply