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Senior Data Governance Specialist – Collibra / Capital Markets

  • Toronto, Ontario, Canada
  • Remote
  • Posted Sep 19, 2026
  • 1 position

$90,000–$110,000 / year

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Employment type
Full-time
Experience level
Lead · 10+ years
Posting language
English
Working hours
40 hours per week
Office presence
1 days per week
Location requirements
Country, Toronto, Ontario, Canada
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

The specialist will trace data supply chains and lineage from reporting outputs to their point of origin while identifying Critical Data Elements. They will also evaluate data quality controls and maintain technical lineage within the Collibra platform.

Job details

Senior Data Governance Specialist – Collibra / Capital Markets Type: Full-Time / Permanent Location: Fully Remote with 1 day/week onsite in Toronto included 🧭 Overview Our client is seeking a Senior Data Governance Specialist with deep Collibra, Data Lineage, Data Quality, and Capital Markets experience. This is a hands-on role focused on tracing critical data end to end from regulatory, risk, and finance reports back to the original point of origin, identifying Critical Data Elements (CDEs), evaluating data quality controls, and maintaining technical lineage in Collibra. 🛠️ What You'll Be Doing Trace data supply chains and lineage end to end from reporting outputs to point of origin. Identify and define Critical Data Elements (CDEs). Reconstruct data transformations and resolve lineage gaps and conflicting sources. Evaluate Data Quality controls, including control design and operating effectiveness. Build and maintain technical lineage in Collibra. Work hands-on with Collibra technical lineage, Harvester, Edge, workflows, validation, and REST APIs. Partner with business, technology, risk, and governance stakeholders to remediate data issues. Support automation and AI-assisted approaches to lineage and Data Governance. 🧩 Desired Experience 8+ years in Data Governance, Data Management, Data Architecture, or Enterprise Data Management. Deep hands-on Collibra experience, including technical lineage, Harvester, Edge configuration, workflows, and REST API integrations. Proven experience tracing Data Lineage / Data Supply Chains to point of origin. Experience identifying and defining Critical Data Elements (CDEs). Experience evaluating Data Quality control design and operating effectiveness. Strong Capital Markets knowledge, including trade lifecycle, front-to-back flows, market/reference data, risk aggregation, and regulatory reporting. Strong SQL skills and experience working in large, regulated financial institutions. Python experience is valuable. 🚀 Nice to Have Databricks / Unity Catalog. Python and data automation. LLM, Generative AI, or Agentic AI development. 🎯 Ideal Profile A senior, hands-on Data Governance / Data Lineage specialist who combines deep Collibra expertise with Capital Markets knowledge and can independently trace complex data flows across multiple systems rather than working within a single application boundary.

What you’ll do

The specialist will trace data supply chains and lineage from reporting outputs to their point of origin while identifying Critical Data Elements. They will also evaluate data quality controls and maintain technical lineage within the Collibra platform.

Requirements

Candidates must have over 8 years of experience in data governance or architecture with deep hands-on expertise in Collibra and Capital Markets. Strong SQL skills and the ability to work in regulated financial environments are essential for this role.

Listed skills

  • SQL · Preferred
  • REST APIs · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Collibra
  • Data Lineage
  • Data Quality
  • Capital Markets
  • Critical Data Elements
  • SQL
  • Python
  • Data Governance
  • Data Architecture
  • Harvester
  • Edge
  • REST APIs
  • Regulatory Reporting
  • Risk Aggregation
  • Data Automation
  • Databricks

Job areas

  • Data & Analytics
  • Finance & Accounting
  • Technology
  • Consulting

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