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Data Manager Jobs in Alberta (NOW HIRING)

A DCEO Manager is one of our most senior management roles in the data center environment. In this role you will be responsible for leading an organization, managing Managers and/or Facility Managers ...

In this role, you will leverage your environmental data management, database, and Geographic Information Systems (GIS) skills to directly support environmental project work as it relates to site ...

As Manager of Data Foundations, you'll consolidate multiple Google Cloud Platform (GCP) deployments into a unified, standardized operating model. You'll own the operational transition of our data ...

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

Partner with Data Engineering, RevOps, Product, and other stakeholders to set modeling standards, manage dbt access and ownership boundaries, and enable "self-service" analytics across the company.

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer ...

Develop and manage our central data warehouse in Google BigQuery . * Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term ...

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

We aren't looking for just any traditional Data Scientist to join this team. We're looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

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Data Manager information

See Alberta salary details

$26.5K

$86.1K

$197K

How much do data manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data manager in Alberta is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Alberta? The most popular types of Data jobs in Alberta are:
What are popular job titles related to Data Manager jobs in Alberta? For Data Manager jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Alberta look for? The top searched job categories for Data Manager jobs in Alberta are:
What cities in Alberta are hiring for Data Manager jobs? Cities in Alberta with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

Data Analyst (Remote) JP927

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Posted 25 days ago


Job description

Project Name:
Digital Regulatory Assurance System
Job Title: Data Product Analyst
Scope:
The Data Product Analyst – Intermediate will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential to regulatory and compliance functions. As data and analytics maturity increases, the role may be expanded to support additional enterprise data initiatives.
Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.
DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform
As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.
Duties:
Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases.
Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
Design and expose secure data services and APIs using Azure API Management for downstream systems.
Implement data governance practices, including metadata management, data classification, and lineage tracking.
Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.