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Data Architect Jobs in Alberta (NOW HIRING)

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a ... Collaborate with architects and developers to recommend fixes that will not negatively affect other ...

Minimum 5 years' relevant prior experience in the areas of industrial architecture, such as data ... centers, water treatment facilities, public utility facilities, operations centers, aerospace ...

Minimum 5 years' relevant prior experience in the areas of industrial architecture, such as data ... centers, water treatment facilities, public utility facilities, operations centers, aerospace ...

Senior Architect - Salesforce

Calgary, AB · Hybrid

CA$120K - CA$160K/yr

Lead architecture for Financial Services Cloud, including FSC data models, Interaction Summaries, Action Plans, household and relationship management, onboarding, KYC, and advisor experience. * Lead ...

We are looking for an experienced Solution Architect for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Solution Architect for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Solution Architect for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Solution Architect for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world.BigGeo exists to ...

An experienced Senior Landscape Architect with strong expertise in site supervision, ensuring ... We connect people, data and technology to transform the world's infrastructure and energy systems.

... data protection, security and recovery items * Create relevant documentation as required including conceptual design, logical and physical designs, bill of materials, as-built diagrams, knowledge ...

... data architects, software developers, information designers, and business/industry leaders. You will be responsible for client communication, from sales and business problem definition to final ...

AI Workforce Architect

Calgary, AB · On-site

CA$114K - CA$171K/yr

AI Workforce Architect Avanade is looking for an experienced AI Workforce Architect who thrives on ... Design scalable, secure architectures covering environments, integrations, data, identity, and ...

Showing results 21-40

Data Architect information

See Alberta salary details

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How much do data architect jobs pay per hour?

As of Aug 14, 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.

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:

Infographic showing various Data Architect job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $135,570 per year, or $65.2 per hour.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 9 days ago


Job description

Senior Oracle Data Analyst - Contract

We are seeking a senior Oracle Data Analyst to support a major application and database modernization initiative within the oil and gas sector. This is an initial 4-6-month contract focused on analyzing and resolving significant data discrepancies between a legacy Oracle application and its newly rebuilt replacement.


The organization is migrating data from multiple source systems into a new Oracle database while improving data transformation, prioritization, and master data management practices. Although the new environment is intended to become the authoritative source, millions of records currently do not align with the legacy system. The immediate priority is understanding why these differences exist and determining how the data should be populated.

This role is primarily analytical rather than development-focused. You will investigate data, trace legacy business rules, review SQL and PL/SQL logic, and identify whether discrepancies are caused by source data, data quality issues, transformation logic, field-mapping rules, or differences between the old and new applications.


Key responsibilities

  • Compare and reconcile large datasets across legacy and new Oracle databases.
  • Investigate approximately 7-10 million identified data discrepancies.
  • Perform detailed root-cause analysis to determine why records and fields do not match.
  • Review Oracle SQL, PL/SQL, stored procedures, and legacy application logic.
  • Trace data from multiple source systems through Informatica and PL/SQL transformations.
  • Determine the intended business rules and how individual fields should be populated.
  • Distinguish between source-data issues, transformation defects, mapping gaps, and logic differences.
  • Document findings, business rules, discrepancy patterns, and recommended resolutions.
  • Work closely with business stakeholders to validate data expectations.
  • Collaborate with architects and developers to recommend fixes that will not negatively affect other processes.
  • Support developers during remediation and validate that implemented fixes resolve the underlying issues.
  • Use AI-assisted analysis tools, where appropriate, to accelerate code review and discrepancy investigation.
  • Work independently, take ownership of assigned analysis, and communicate findings clearly to technical and business audiences.


Required qualifications

  • At least seven years of experience in data analysis, data migration, data quality, database development, or a closely related field.
  • Strong hands-on expertise with Oracle databases, Oracle SQL, and PL/SQL.
  • Demonstrated experience with large-scale data reconciliation, validation, and root-cause analysis.
  • Ability to read and understand existing database code, stored procedures, transformations, and business logic.
  • Experience investigating discrepancies between legacy and modernized systems.
  • Good understanding of ETL processes, relational databases, data warehousing, and data integration.
  • Experience translating technical findings into clear, business-friendly language.
  • Strong analytical skills, attention to detail, and a structured approach to problem-solving.
  • Ability to work with limited direction and take ownership of deliverables.
  • Previous oil and gas industry experience.


Preferred qualifications

  • Experience with Informatica.
  • Exposure to master data management and data governance.
  • Experience working with data originating from multiple operational source systems.
  • Backend application development experience.
  • Familiarity with AI tools such as GitHub Copilot or similar tools for SQL, code, and data analysis.
  • Advanced Excel skills.
  • Experience working within Agile delivery teams.


Contract details

  • Initial duration: 4-6 months
  • Work arrangement: Remote work is acceptable; alignment with the client's working time zone is preferred (MST)
  • Primary focus: Data analysis, reconciliation, and root-cause investigation
  • Industry: Oil and gas