Description
Hi,
Please review the below JD:
Role: Data Governance Enablement Analyst
Location: Remote
The Sophus IT Solution is looking for a Data Governance Enablement Analyst for one of our leading clients in Canada.
About the Role
The Data Governance Enablement Analyst is a hands-on role responsible for configuring, scaling, and driving adoption of the enterprise data catalog and governance workflows using Atlan. This role acts as the connective tissue between business data stewards, analytics users, and data engineering teams—ensuring data is discoverable, trusted, well-defined, and governed at the point of use. You will operationalize data governance by embedding it directly into daily workflows across analytics, BI, and data engineering—not by writing static policies, but by enabling metadata, lineage, ownership, quality context, and stewardship inside Atlan.
Responsibilities
- Atlan Platform Enablement & Configuration
- Configure & administer Atlan assets: datasets, tables, dashboards, metrics, & glossary terms
- Design & maintain business glossaries, taxonomies, domains, & critical data elements (CDEs)
- Configure ownership model: (E.g., Executive Owner, Business Owner, Technical Owner, Steward)
- Implement certifications, tags, classifications, & trust indicators to support analytics confidence
- Enable stewardship workflows, issue tracking, announcements, and policy attestations within Atlan
- Metadata, Lineage & Discovery
- Coordinate automated metadata ingestion from modern data platforms (e.g., Databricks, Snowflake, BI tools)
- Validate and curate end-to-end lineage across ingestion, transformation, and reporting layers
- Partner with data engineering to resolve lineage gaps and improve metadata completeness
- Support column-level context for sensitive, regulated, or business-critical data
- Stewardship & Adoption Enablement
- Serve as a primary point of contact for business data stewards and analytics users
- Lead enablement sessions, office hours, and workshops to drive adoption of Atlan
- Translate business concepts into governed data assets and standardized definitions
- Support stewardship operating rhythms (reviews, certifications, issue triage)
- Data Quality & Governance Context
- Attach data quality context, known issues, and remediation status to governed assets
- Partner with data quality teams to surface rules, monitors, and scorecards in Atlan
- Enable issue logging, tracking, and stewardship escalation workflows
- Integration & Automation
- Use Atlan APIs & lightweight scripting to automate metadata enrichment and workflow actions
- Integrate Atlan with downstream systems (e.g., Jira, ServiceNow, BI tools, SSO/RBAC)
- Support governance-by-design patterns embedded into analytics and engineering workflows
Qualifications
- 3 to 5 years of experience in data governance, data enablement, analytics enablement, or data operations
- Hands-on experience configuring or administering Atlan (or similar platforms such as Collibra, Alation, Informatica)
- Strong understanding of modern data stacks (cloud data warehouses/lakehouses, BI tools)
- Practical experience with business glossaries, metadata, lineage, and stewardship models
- Ability to work directly with both business and technical stakeholders
Required Skills
- Experience supporting Databricks, Snowflake, Power BI, SSRS, Tableau, or Looker
- Familiarity with data quality, privacy, or regulatory concepts (PII, PHI, NPI, HIPAA, GLBA, etc.)
- Exposure to APIs, SQL, Python, or metadata automation
- Experience supporting enterprise data governance frameworks (CDMC, DMBOK, internal standards)
What Success Looks Like
- Atlan is actively used by analytics, engineering, and business teams—not just populated
- Business terms are standardized, owned, and trusted
- Lineage is visible and accurate for priority data products and reports
- Data issues are surfaced and resolved through governed workflows
- Governance is embedded into daily work, not treated as a separate compliance exercise
Why This Role Matters
This role is critical to turning data governance from a theoretical program into a practical, value-driven capability. You will directly improve analytics trust, reduce confusion and rework, and enable scalable self-service data access—while ensuring governance happens naturally where people already work.





