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Data Privacy Jobs in Alberta (NOW HIRING)

SMS Equipment

Senior Data & AI Architect

Acheson, AB · On-site

Knowledge of Responsible AI, data governance, privacy, compliance, and enterprise architecture principles. * Demonstrated ability to build technology roadmaps, align architecture strategies with ...

Blend360

AI and Data Engineer

Edmonton, AB · On-site

Familiarity with synthetic data generation techniques or privacy-preserving ML * Experience working in a startup or early-stage product environment Additional Information Synthetic personas are one ...

SAIT

Project Coordinator

Calgary, AB

CA$60K - CA$67K/yr

The development of innovative and sustainable approaches to information management and sharing, data privacy and use, use of acumen in writing funding and curriculum proposals, and project ...

Wawanesa Insurance

Senior Architect - Data & AI

Calgary, AB · Hybrid

CA$115K - CA$160K/yr

Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability). * Partner with business and technical ...

KPMG

AI Platform Administrator

Lethbridge, AB

Strong understanding of AI governance, data privacy, security, risk, and compliance in an enterprise environment * Experience measuring platform usage, adoption, performance, and business value to ...

Clio

Senior Systems Developer, IT.

Calgary, AB · On-site

A strong understanding of compliance and security best practices as they relate to financial data integrations, including SOC 2 controls, data privacy, access management, and audit trail requirements

TransAlta

Learning Systems Analyst

Calgary, AB · Hybrid

Strong technical knowledge of eLearning standards, HRIS data models, SSO, data privacy, and security protocols * Solid understanding of instructional design methodologies and adult learning ...

Trans Alta

Learning Systems Analyst

Calgary, AB · Hybrid

Strong technical knowledge of eLearning standards, HRIS data models, SSO, data privacy, and security protocols * Solid understanding of instructional design methodologies and adult learning ...

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All JobsData Privacy JobsData Privacy Jobs in Alberta

Data Privacy information

See Alberta salary details

$12

$56

$99

How much do data privacy jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data privacy in Alberta is $56.66, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $72.60 per hour, depending on experience, location, and employer.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What is a data privacy job?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a data privacy professional?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What jobs are there in data privacy?

Jobs in data privacy include roles such as Data Privacy Officer, Data Protection Analyst, Privacy Compliance Manager, and Data Security Specialist. These positions involve developing privacy policies, ensuring compliance with regulations like GDPR or CCPA, and implementing data protection measures, often requiring knowledge of privacy laws, risk management, and security tools.
More about Data Privacy jobs

What are popular job titles related to Data Privacy jobs in Alberta?

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

What job categories do people searching Data Privacy jobs in Alberta look for?

The top searched job categories for Data Privacy jobs in Alberta are:

Data Privacy jobs near you
Infographic showing various Data Privacy job openings in Alberta as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $117,862 per year, or $56.7 per hour.

Data Engineer - Senior (REMOTE) JP991

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Posted 22 days ago

Job description

Project Name:

Digital Regulatory Assurance System

Scope:

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.

The Data Product Analyst provides operational support and continuous improvement (CI) services for DRAS data products and platform solutions. The role focuses on ensuring the ongoing reliability, availability, and performance of DRAS data assets, integrations, reports, and analytics products.

Duties:

  • Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria
  • 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 and downstream consumption.
  • 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.
  • Other duties as needed