Senior Data Governance Specialist (Data Supply Chain) (Toronto, ON)
Senior data governance specialist in Toronto focused on data supply-chain/lineage for a capital-markets environment: hands-on Collibra work, Databricks (Unity Catalog) lineage, SQL and Python to trace data to authoritative sources, plus building LLM- and agentic-based applications under OSFI regulatory drivers.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years in data governance, data management, or data architecture with substantive time in capital markets or a comparable regulated trading environment
- Deep hands-on Collibra experience: metadata harvesting, asset and relation model design, custom technical lineage, validation rules, workflow design
- Demonstrated end-to-end ownership of a data lineage or data supply chain mapping lifecycle
- Proven experience tracing supply chains to point of origin, including authoritative source and system of record determination, and resolving conflicting or ambiguous upstream sources
- Strong SQL for interrogating pipelines and resolving column-level references
- Python to a production standard
- Substantive capital markets experience: trade lifecycle, front-to-back flows, market and reference data, position and risk aggregation, and reporting obligations
- Fluency in regulatory drivers behind lineage and control work, including OSFI regulatory guidance
- Working experience with Databricks, including Unity Catalog, lineage capture in a lakehouse architecture, and governance implications of platform migration
- Applied experience building LLM-based applications, including prompt design and structured, schema-constrained output
- Working experience with agentic patterns: tool and function calling, multi-step orchestration, deterministic guardrails around non-deterministic components
- Familiarity with data mesh, data product, or federated governance operating models
Full description
Required Skills & Experience
● 8+ years in data governance, data management, or data architecture, with substantive time
in capital markets or a comparable regulated trading environment
● Deep hands-on Collibra experience: metadata harvesting, asset and relation model design,
custom technical lineage, validation rules, and workflow design
● Demonstrated end-to-end ownership of a data lineage or data supply chain mapping lifecycle
● Proven experience tracing supply chains to point of origin, including authoritative source and
system of record determination, and resolving conflicting or ambiguous upstream sources
● Strong SQL for interrogating pipelines and resolving column level references, and Python to
a production standard
● Substantive capital markets experience: trade lifecycle, front-to-back flows, market and
reference data, position and risk aggregation, and the reporting obligations these feed
● Fluency in the regulatory drivers behind lineage and control work, including applicable
regulatory guidance (OSFI)
● Working experience with Databricks, including Unity Catalog, lineage capture in a lakehouse
architecture, and the governance implications of platform migration
● Applied experience building LLM-based applications, including prompt design, and structured
and schema-constrained output
● Working experience with agentic patterns: tool and function calling, multi-step orchestration,
deterministic guardrails around non-deterministic components
● Familiarity with data mesh, data product or federated governance operating models