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Data Management Jobs in Alberta (NOW HIRING)

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Data Management information

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 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.

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 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.

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.

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 policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

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 are popular job titles related to Data Management jobs in Alberta?

For Data Management jobs in Alberta, the most frequently searched job titles 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:

Infographic showing various Data Management job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Manager, Data Management and Architect

BrokerLink

Edmonton, AB โ€ข On-site

Full-time

Re-posted yesterday


Job description

Being a part of BrokerLink, means you live our values: to act with integrity, be respectful of others, have a customer-driven mindset, strive for excellence and always treat others with generosity. These values drive our diversity and inclusion efforts to ensure a respectful and inclusive work environment is present.

We want like-minded individuals who want to provide the highest level of customer service, who carry themselves with utmost professionalism.

We want to invest in you! Your success is our success and our purpose of "we're here to help people" is what motivates us to keep the amazing talent we attract, for a long time. We want to bring out the best of all our team members! Offering countless opportunities to grow and an environment which values our most important assets, you, our team members. We have over 200 offices across Canada, ask us about our flexible work arrangements!

Pay at BrokerLink is about much more than just salary.

- Flexible work arrangements

- Multiple benefits offered to support physical and mental wellbeing, Wellness account and much more

- Share plan & other savings

Salary range (but not limited to):

128,300 - 156,800

Incentive plan

Annual bonus: 15% target, based on the base salary, with a potential payout of up to 200% (subject to personal and company performance)

As part of our commitment to Win As A Team, we share our success with employees through our incentive programs and Employee Share Purchase Plan (ESPP) - with BrokerLink matching a portion of your contributions.

Our Group RRSP, with company matching DPSP offerings provide flexibility and long-term security for our employees beyond their careers.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, location etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We're looking for a Manager, Data Management & Architect to join our growing Technology team! In this role, you will lead BrokerLink's enterprise data architecture, data management practices, and data delivery foundation. You will combine strategic architecture leadership with hands-on management of data standards, governance, quality, integration, platform enablement, and team delivery. You will help ensure data is designed, governed, secured, integrated, and made available to support reliable reporting, analytics, operational decision-making, regulatory needs, and future business growth.


What You'll Do Here

  • Own BrokerLink's enterprise data architecture strategy, standards, design patterns, and reference models, ensuring scalable, secure, and business-aligned data solutions across the organization.
  • Establish, implement, and enforce enterprise data standards, controls, and governance practices that improve the accuracy, consistency, completeness, timeliness, and trustworthiness of enterprise data.
  • Lead, coach, and develop internal data professionals while providing direction to outsourced resource augmentation teams.
  • Translate business objectives, reporting needs, and operational requirements into scalable data architecture solutions.
  • Develop conceptual, logical, and physical data models that support analytics, integration, operational reporting, and data product development.
  • Guide the design of data platforms, data pipelines, data marts, warehouses, lakehouse patterns, metadata structures, and integration frameworks.
  • Partner with business and technology stakeholders to define data ownership, stewardship responsibilities, data definitions, and governance processes.
  • Support audit, compliance, privacy, and regulatory requirements by ensuring data is appropriately classified, protected, monitored, and traceable.
  • Manage vendor and partner performance to ensure outsourced teams deliver against expected quality, timelines, security standards, and business outcomes.
  • Partner with cloud, infrastructure, security, and business teams to design reliable, secure, scalable, resilient, observable, and cost-aware data solutions.
  • Oversee data integration patterns across source systems, SaaS platforms, cloud services, reporting tools, and downstream consumers.
  • Support modernization of data capabilities, including cloud data platforms, analytics enablement, automation, data cataloguing, and self-service reporting foundations.
  • Ensure production data solutions include appropriate monitoring, support models, documentation, access controls, and operational handoff.
  • Promote a culture of data accountability, transparency, reuse, and continuous improvement.

What You Bring To The Table

  • Strong understanding of enterprise data architecture, data modelling, data integration, data warehousing, data lakehouse patterns, metadata management, and data governance.
  • Experience designing and implementing scalable data platforms, data pipelines, reporting foundations, and analytics-ready data structures.
  • Working knowledge of cloud data platforms, relational and non-relational databases, ETL/ELT practices, APIs, data security, access management, and privacy considerations.
  • Experience with modern data tools and platforms such as Databricks, Azure Data Lake, Azure Synapse, Microsoft Fabric, Power BI, SQL Server, data cataloguing tools, or comparable technologies.
  • Ability to balance architecture principles with practical delivery constraints, operational support needs, and business timelines.
  • Proven experience leading data teams, technical workstreams, delivery partners, or cross-functional technology initiatives.
  • Experience managing a mixed team model that includes internal employees and outsourced or augmented delivery resources.
  • Demonstrated ability to build processes, standards, dashboards, operating models, controls, and governance routines that improve delivery maturity.
  • Strong prioritization, planning, stakeholder management, and issue resolution skills.
  • Ability to lead through ambiguity, manage competing priorities, and make sound decisions in high-pressure or time-sensitive situations.
  • 7+ years of experience in data architecture, data management, data engineering, analytics, business intelligence, enterprise technology, or related disciplines.
  • 3+ years of experience leading people, technical teams, delivery partners, or complex data initiatives.
  • Experience working with business stakeholders to define data requirements, resolve data quality issues, and improve trust in reporting and analytics.
  • Experience establishing or improving data governance, data quality, metadata, lineage, master data, or stewardship practices.
  • University degree or college diploma in Computer Science, Information Technology, Data Management, Engineering, Business Technology, or a related discipline, or equivalent professional experience.
  • Experience supporting enterprise-scale data transformation, cloud migration, platform modernization, acquisition integration, or reporting modernization initiatives (is an asset).
  • Certifications such as CDMP, DAMA, TOGAF, Azure, Databricks, Microsoft Fabric, Power BI, project management, ITIL, or data governance certifications (is an asset).
This role is a new member of our growing team.


We are an equal opportunity employer

BrokerLink is committed to providing an accessible environment. Accommodations are available on request for candidates taking part in the selection process.

BrokerLink is committed to creating and maintaining an inclusive environment which embraces our diversities and sees them as our strength! We want to foster a workplace that makes all our team members and customers feel welcome and appreciated.

Discover more about BrokerLink! Visit our new dedicated Webpage.

Please note that BrokerLink does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

At BrokerLink, we value diversity and are committed to creating an inclusive workplace that inspires each of us to be the best we can be. Join our team and make a difference!