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Metadata Analyst Jobs in Ontario (NOW HIRING)

Interac Corp.

Enterprise Architect

Toronto, ON

You will partner closely with Data Engineering, Analytics, Product, Platform, Security, Risk ... Establish architecture metrics and guardrails for data quality, data lineage, metadata completeness ...

Zafin

AI Knowledge Operations Specialist

Toronto, ON

CA$90K - CA$130K/yr

Perform markdown cleanup, metadata tagging, taxonomy management, and content migration to improve ... Strong research and analytical skills, with the ability to convert unstructured information into AI ...

Scotiabank

Manager, Data Products

Toronto, ON

... analytics, operational, regulatory, and AI-driven use cases. Is this role right for you? In this ... Ensure business metadata, lineage, ownership, and data quality controls are maintained and kept ...

Aecon Group Inc.

Data Steward

Toronto, ON · On-site

... analytics, or a related data-focused role. * Strong understanding of data governance principles, data quality practices, metadata management, and business glossary or data dictionary concepts.

Canadian Tire

Manager, Stewardship & Quality

Toronto, ON · On-site

CA$80K - CA$131K/yr

Manage processes for issue identification, root cause analysis, and resolution. Ensure business metadata, data definitions, and critical data elements are documented and maintained. Partner with data ...

Canadian Tire

Manager, Stewardship & Quality

Toronto, ON · On-site

CA$80K - CA$131K/yr

Manage processes for issue identification, root cause analysis, and resolution. Ensure business metadata, data definitions, and critical data elements are documented and maintained. Partner with data ...

ITK

Data Advisor

Ottawa, ON · On-site

CA$61K - CA$76K/yr

Review and analyze research publications, consultant reports, administrative data, and other ... Maintain and enhance organizational data inventories, catalogues, metadata, and information ...

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Showing results 41-60

All JobsMetadata Analyst JobsMetadata Analyst Jobs in Ontario

Metadata Analyst information

See Ontario salary details

$48.5K

$86.2K

$142K

How much do metadata analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for metadata analyst in Ontario is $86,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive as a metadata analyst, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What are popular job titles related to Metadata Analyst jobs in Ontario?

For Metadata Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Metadata Analyst jobs in Ontario look for?

The top searched job categories for Metadata Analyst jobs in Ontario are:

Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $86,166 per year, or $41.4 per hour.

Lead Data Solution Engineer

Royal Bank of Canada

Toronto, ON • Hybrid

Full-time

Posted 18 days ago

Job description

Job Description

What is the opportunity?

The HR/BMCC Innovation Data team serves as a horizontal function delivering business systems analysis, product management and data expertise to HR, BMCC business and other IT partners. We are the Data Strategy pillar in this team, responsible for building a data platform product (data hub) for HR.

As theLead Data Solution Engineerin the Data Strategy team, you will architect and deliver enterprise-scale data solutions that drive innovation and efficiency in HR processes. This role combines deep technical/hands-on expertise in data engineering, architecture, and modeling with strategic leadership to align data systems with HR business objectives. You will lead cross-functional teams, mentor engineers, and ensure compliance with RBC's regulatory standards in a highly governed environment.

What will you do?

  • Design and develop data models, processes, and systems, ensuring alignment with business requirements and adherence to organizational standards and best practices.
  • Provide hands-on technical leadership, and deliver innovative data solutions that enhance operational efficiency and address complex challenges.
  • Lead end-to-end data solution designand implementation of HR systems, ensuring scalability, security, and alignment with RBC's hybrid could strategy (Azure/AWS/On-prem).
  • Define and govern data architecture standards, including enterprise data models, relational database design, and metadata management for HR domains.
  • Build and optimize scalable ETL/ELT workflowsusing tools like OpenShift, Snowflake, dbt, Airflow and Spark, with a focus on HR data integration (e.g., core HR, payroll, talent management).
  • Drive DevOps/CI-CD practicesto automate deployment pipelines and ensure high availability of HR data platforms.
  • Collaborate with HR stakeholdersand product managers to translate business requirements into technical solutions, ensuring compliance with data governance and regulatory frameworks (e.g., risk, privacy).
  • Mentor other engineersand lead cross-functional teams (developers, business analysts, HR partners) to deliver impactful data solutions.
  • Apply emerging technologies(e.g., AI/LLM, advanced analytics) to enhance HR data capabilities and innovation.
What do you need to succeed?

Must-have:

  • Bachelor's Degree in Computer Science, Software Engineering or equivalent.
  • 10+ years of experience in data architecture, data engineering, or enterprise data management.
  • 6+ years designing enterprise data architectures across multiple domains.
  • 6+ years designing and optimizing ETL/ELT and data integration solutions.
  • 6+ years with data warehouses, data lakes, and analytics platforms.
  • 6+ years with data modeling and relational database design.
  • 5+ years of hands-on experience with Snowflake or other similar cloud data platforms.
  • 5+ years of hands-on experience with SQL, Python, Java or other similar coding languages.
  • 3+ years of experience designing, architecting, or building data products.
  • Strong understanding of data governance frameworks, data quality methodologies, and metadata management.
  • Experience in highly regulated industries (banking, financial services) with compliance requirements.
  • Proven ability to design scalable, secure, and high-performance data solutions.
  • Excellent communication skills with ability to translate complex technical concepts for business leadership.
  • Strong analytical and problem-solving skills with attention to detail.

Nice-to-have:

  • Snowflake or cloud data platform certifications.
  • Experience with metadata-driven architectures, API design, domain-driven design, or data mesh patterns.
  • Agile, CI/CD, and DevOps experience
  • Experience with AI/ML applications in HR data (e.g., talent analytics, workforce planning).
  • Familiarity with HR systems (e.g., Workday, SAP SuccessFactors) and integration patterns.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

Job Skills

Cloud Data Architecture, Collaboration, Data Architecture Development, Data as a Service, Database Application Development, Data-Driven Design, Data Engineering, Data Modeling, Data Warehousing (DW), ETL Pipelines, Human Resources (HR) Data, Metadata Management, Python (Programming Language), Red Hat OpenShift, Requirements Analysis, Snowflake (Platform), Structured Query Language (SQL)

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-04

Application Deadline:

2026-08-19

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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