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Data Management Jobs in Alberta (NOW HIRING)

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a ...

Alberta Health Services

Data Manager

Calgary, AB · Hybrid

CA$31.64 - CA$54.36/hr

Supports data management activities for the different programs within ALA. Contributes towards the determination, monitoring, and achievement of program outcomes; strategic planning and decision ...

Slrconsulting

Environmental Data Manager

Calgary, AB

CA$70K - CA$90K/yr

Working with project staff to identify project data management needs and requirements * Define, organize, implement, and enforce correct data importing, data exporting, data collection, management ...

Connect First Credit Union

Data Architect

Edmonton, AB · Remote

Collaborate with business analysts, Data Managements teams, Data Analytics, Data Science, and other IS analysts to convert business requirements into enterprise data solutions. * Design and build ...

Alquemy

Data Analyst

Edmonton, AB

Required Qualifications Experience in data analysis, data management, or business analytics. Strong skills in data validation, reporting, and data transformation. Experience with SharePoint and Power ...

Parsons

Environmental Data & GIS Specialist

Calgary, AB · On-site +1

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 ...

Deloitte

Data Science Manager

Calgary, AB · On-site

It would be great for you to have some of these nice-to-haves as well: • Leadership or management experience, including project management in analytical, ML, or data-driven fields. • Proven track ...

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Data Management information

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs
What are the most commonly searched types of Data Management jobs in Alberta? The most popular types of Data Management jobs in Alberta are:
What job categories do people searching Data Management jobs in Alberta look for? The top searched job categories for Data Management jobs in Alberta are:
Data Management jobs near you
Infographic showing various Data Management 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.
L3 Data Management (GCP)

L3 Data Management (GCP)

TELUS

Edmonton, AB • On-site, Remote

Other

Re-posted yesterday

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

18th of 82 rated telecommunications companies

Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 

What TELUS employees say

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