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Data Privacy Jobs in Alberta (NOW HIRING)

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 ...

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 ...

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

Families Matter

Data Specialist

Calgary, AB · On-site

CA$60K/yr

Data Specialist REPORTS TO: Operations Supervisor HOURS: 35 hours per week, typically Monday to ... Sound understanding of privacy legislation (PIPA) and best practices for confidential client ...

Families Matter

Data Specialist

Calgary, AB · On-site

Data Specialist REPORTS TO: Operations Supervisor HOURS: 35 hours per week, typically Monday to ... Sound understanding of privacy legislation (PIPA) and best practices for confidential client ...

Families Matter

Data Specialist

Calgary, AB

CA$60K/yr

Data Specialist REPORTS TO: Operations Supervisor HOURS: 35 hours per week, typically Monday to ... Sound understanding of privacy legislation (PIPA) and best practices for confidential client ...

Amplifon

Hearing Aid Specialist or Audiologist

Calgary, AB · On-site

CA$80K - CA$110K/yr

Provide quality after-care services and maintain accurate customer records in compliance with healthcare data privacy. Business Growth & Sales Leadership * Lead sales of hearing aids and accessories ...

Parkland

SAP AI Solution Architect

Calgary, AB

Ensure compliance with enterprise security, governance, data privacy, and responsible AI guidelines. * Collaboration : Work closely with designers, developers, data engineers, and integration ...

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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 Aug 12, 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 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 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 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 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.
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 81% Full Time, and 19% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $117,862 per year, or $56.7 per hour.

AI and Data Engineer

Blend360

Edmonton, AB • On-site

Full-time

Re-posted 2 days ago

Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

We are building a team of engineers in Edmonton, AB, Canada to develop a first-of-its-kind synthetic persona platform — an AI system that models human behavior, preferences, and decision-making at scale. This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that bring them to life.

This is not a maintenance role. The platform is being built from the ground up, and every technical decision you make will shape what it becomes. You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm.

What You Will Do

  • Design and build a scalable platform and the data pipelines that ingest, transform, and serve structured and unstructured data to AI models
  • Develop and iterate on AI/ML components — including LLM-based agents, embedding models, and behavioral simulation layers — that power synthetic persona generation
  • Architect and maintain the data infrastructure underpinning persona modeling: feature stores, vector databases, data lakes, and real-time serving layers
  • Collaborate with researchers to translate persona logic and behavioral frameworks into working system components
  • Write production-quality code, participate in code reviews, and contribute to engineering standards for the team
  • Monitor model and pipeline performance in production; identify and resolve issues proactively
  • Contribute to system design discussions and help shape the technical roadmap
Qualifications

Must be able to commute to our Edmonton, AB, Canada office

Core Technical Skills

  • 3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
  • Proficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)
  • Experience building and deploying ML models or AI components in a production environment
  • Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)
  • Solid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)
  • Experience with cloud data infrastructure — AWS, GCP, or Azure — and comfort operating in a cloud-native environment

Systems & Engineering Mindset

  • Ability to reason about system architecture: latency, throughput, scalability, and data consistency tradeoffs
  • Experience with APIs, microservices, or event-driven architectures (Kafka, Pub/Sub, or similar)
  • Comfort working across the stack — from raw data ingestion through to model serving and API exposure
  • Strong debugging instincts and a habit of writing observable, testable code

How You Work

  • Intrinsically motivated — you pursue hard problems because they interest you, not because someone handed you a ticket
  • Comfortable with ambiguity; you can move forward when the requirements are still forming
  • Collaborative by default — you ask questions, share context early, and bring others along
  • You read papers, experiment on weekends, and have opinions about how AI systems should be built

Nice to Have

  • Experience with Snowflake
  • Experience with behavioral modeling, simulation, or agent-based systems
  • Background in NLP, computational social science, or user modeling
  • Contributions to open-source AI or data tooling
  • 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 of the most technically interesting and practically consequential challenges in applied AI right now. The platform you help build will be used to simulate human decision-making in ways that have real product and business impact. You will have direct influence over architectural decisions, meaningful ownership of your components, and a front-row seat to a research area that is evolving fast.

*Must be able to work on-site at our Edmonton, AB, Canada location