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Data Classification Associate Jobs in Ontario (NOW HIRING)

L3HHCM20

Sr Associate, Export Classification

Dundas, ON · On-site

CA$62K - CA$112K/yr

Senior Associate, Export Classification (L2) Reference#: 37736 Waterdown, Ontario About L3HARRIS ... data and related services being exported from, or imported into Canada and the United States.

L3Harris Technologies

CA$62K - CA$112K/yr

Senior Associate, Export Classification (L2) Reference: 37736 Waterdown, Ontario About L3HARRIS ... data and related services being exported from, or imported into Canada and the United States.

Omers

Lead, Information Management

Toronto, ON · Hybrid

CA$86K - CA$130K/yr

Reporting to the Associate Director, AI and Information Governance, in this role you will: * Lead ... Align and advance data governance capabilities-including data classification, cataloguing, metadata ...

Wajax

IT ASSOCIATE NETWORK ADMINISTRATOR

Mississauga, ON · On-site

CA$50K - CA$55K/yr

Apply metadata tagging, data classification and retention labels in SharePoint; * Respond to IT Hel ... Associate, Microsoft 365 Enterprise Administrator. Work Experience: 1-3 years of experience in ...

Wajax

IT ASSOCIATE NETWORK ADMINISTRATOR

Toronto, ON · On-site

CA$50K - CA$55K/yr

Apply metadata tagging, data classification and retention labels in SharePoint; * Respond to IT Hel ... Associate, Microsoft 365 Enterprise Administrator. Work Experience: 1-3 years of experience in ...

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Data Classification Associate information

What does a data associate do?

A data classification associate is responsible for organizing, categorizing, and maintaining data to ensure accuracy and security. They often use data management tools and follow established protocols to label and sort data, supporting data analysis and compliance efforts.

What jobs in the US pay $300,000 a year?

For a Data Classification Associate, earning $300,000 annually is uncommon, as this role typically offers lower compensation. High-paying jobs in the US that reach or exceed this level are usually executive positions such as Chief Data Officer, Chief Technology Officer, or senior roles in investment banking, law, or specialized medical fields, often requiring extensive experience, advanced skills, and certifications.

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

To thrive as a Data Classification Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data privacy and security principles, often supported by a relevant degree or certification. Familiarity with data management systems, classification software, and tools like Microsoft Excel or SQL is typically required. Excellent organizational skills, effective communication, and the ability to work independently under deadlines are valuable soft skills in this role. These skills ensure accurate data categorization, compliance with regulations, and efficient information management within an organization.

What does a Data Classification Associate do?

A Data Classification Associate is responsible for organizing and categorizing data based on its sensitivity, value, and regulatory requirements. They review data sets, apply classification labels, and ensure that information is handled according to company policies and legal standards. This role is essential for protecting sensitive information, supporting data security, and facilitating efficient data management within an organization.

Is 40 too late for data science?

The Data Classification Associate role typically requires foundational skills in data handling and classification, which can be developed at any age. Age is not a barrier to entering data science or related fields, and many professionals successfully transition into data roles later in their careers by gaining relevant certifications and skills.

What is the difference between Data Classification Associate vs Data Analyst?

AspectData Classification AssociateData Analyst
Required CredentialsHigh school diploma or equivalent; certifications like CDMP beneficialBachelor's degree in data science, statistics, or related field
Work EnvironmentData management teams, corporate offices, data centersBusiness units, analytics teams, corporate offices
Employer & Industry UsageUsed across industries for data governance rolesUsed in various industries for data analysis and reporting

The Data Classification Associate primarily focuses on organizing and categorizing data to ensure proper data governance, while the Data Analyst interprets data to generate insights and support decision-making. Both roles require familiarity with data management, but their core responsibilities differ significantly.

How do Data Classification Associates typically collaborate with data engineers and analysts within an organization?

Data Classification Associates frequently work alongside data engineers and analysts to ensure that data is accurately categorized and labeled for downstream processes. They often communicate classification standards, resolve ambiguities in data sets, and provide feedback on data quality issues. This collaboration helps maintain compliance with internal policies and external regulations, and supports efficient data retrieval and analysis. Regular meetings and shared documentation are common practices to align on classification criteria and address any emerging challenges.

What are the 4 types of data classification?

Data classification typically includes four main types: public, internal, confidential, and restricted. These categories help organizations manage data security and access controls, which are important skills for a Data Classification Associate to understand and implement effectively.
What cities in Ontario are hiring for Data Classification Associate jobs? Cities in Ontario with the most Data Classification Associate job openings:
Data Classification Associate jobs near you
Senior Data Engineer - Corporate Data Analytics Group

Senior Data Engineer - Corporate Data Analytics Group

Canadian Bank Note Company

Nepean, ON • On-site, Remote

Full-time

Medical, Life, Retirement

Posted 21 days ago

Job description

Company Description

Canadian Bank Note Company (CBN) is a leader and trusted provider of secure document and adjacent enterprise-level system solutions across the following domains: border security, civil identity, driver licence/identification and vehicle information, excise control, currency, lotteries and charitable gaming.

Our Corporate Philosophy and 7 Core Principles shape and guide our corporate behaviours and underpin the sense of community you will experience at CBN. We seek long-term relationships with our employees and offer a competitive compensation package that includes health, medical and life insurance benefits and a defined contribution pension plan with company matching.

Job Description

Job Title: Senior Data Engineer

Job Type: Permanent, Full-time

Location: Ottawa, Ontario

Work Model: Remote

Job Status: Existing Vacancy

Position Summary

The Senior Cloud Data Engineer is responsible for designing, building, and operating scalable, secure, and reliable cloud data platforms that power analytics, AI, and decision‑making across the organization. This role focuses on engineering high‑quality, production‑grade data pipelines and data products using Microsoft Azure, Microsoft Fabric, and Databricks, enabling downstream BI, Copilot, and AI/ML workloads.

Key Responsibilities

Data Pipeline & Platform Engineering

  • Design, build, and maintain scalable cloud‑native data pipelines supporting batch and near‑real‑time use cases.
  • Engineer and optimize data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Microsoft Fabric, Databricks, and related services.
  • Implement and maintain lakehouse and medallion architectures (bronze, silver, gold) to support analytics and AI workloads.
  • Develop robust transformation logic using SQL, PySpark, and Python with a focus on performance and maintainability.

Data Integration & Analytics Enablement

  • Partner with Analytics/BI Engineers to ensure datasets are optimized for semantic layers and AI consumption.
  • Collaborate with data scientists to support feature engineering and model training workloads.

Data Quality, Governance & Security

  • Implement data quality, validation, lineage, and observability solutions to ensure trust in data assets.
  • Design and enforce data security practices including access controls, encryption, and data classification.

DataOps, Automation & Cost Optimization

  • Automate deployment and operations using DataOps and infrastructure‑as‑code practices.
  • Optimize cloud performance and costs across the data platform.

Documentation & Operational Support

  • Create and maintain technical documentation, runbooks, and architecture diagrams.

Leadership & Mentorship

  • Provide technical leadership and mentorship to junior data engineers.
Qualifications

Mandatory Requirements

  • Legally eligible to work in Canada.
  • Able to obtain Government of Canada Reliability or Secret security clearance.
  • Fluent in English (speak, read, write).

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
  • Strong understanding of lakehouse, data warehouse, and medallion architecture patterns.
  • 8+ years of relevant professional experience, including:
  • 5+ years of professional experience in cloud data engineering or data platform roles.
  • 5+ years of hands‑on experience with Microsoft Azure data services.
  • 5+ years of experience building data pipelines using SQL and Python or PySpark.
  • Working with structured and semi‑structured data.
  • Collaborating with analytics, BI, and AI teams.

Preferred Qualifications

  • 10+ years of relevant professional experience
  • Microsoft Certifications:
    • Fabric Analytics Engineer Associate (DP‑700) or Databricks Certified Data Engineer Associate or equivalent
  • Knowledge of AI/ML data requirements and feature engineering.
  • Experience with the following:
  • Microsoft Fabric (OneLake, lakehouses, pipelines, notebooks).
  • Azure Databricks for large‑scale data processing.
  • DataOps and CI/CD for data platforms.
  • Experience in manufacturing, software, or regulated environments.

Additional Information

Equal Opportunity Statement

Our organization is committed to employment equity and diversity in the workplace. We actively encourage applications from women, Indigenous Peoples, persons with disabilities, members of visible minorities, and LGBTQ2+ individuals.

We are dedicated to removing barriers and fostering an inclusive workplace that reflects society and we are committed to providing an accessible and inclusive recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

If you require accommodation at any stage of the hiring process, please contact us at recruitment@cbnco.com so that appropriate arrangements can be made.

AI Use in Recruitment Statement

As part of our commitment to transparency and fairness in hiring, we disclose that artificial intelligence (AI) tools may be used at certain stages of our recruitment process. These tools assist in tasks such as resume screening, candidate matching, and interview scheduling. All AI-assisted decisions are subject to human oversight to ensure fairness, accuracy, and compliance with applicable laws.

We are committed to the responsible, transparent, and accountable use of AI, in alignment with Ontario’s Responsible Use of Artificial Intelligence Directive and the requirements under the Working for Workers Four Act. This includes taking steps to mitigate bias, protect candidate privacy, and ensure that AI does not unfairly influence hiring outcomes.

If you have questions or concerns about how AI is used in our hiring process, please contact us at recruitment@cbnco.com .