Data Governance Enablement Analyst (Atlan)
Fully Remote
Duration: 1 year

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

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

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)

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

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

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

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)

Data Governance & Enablement Analyst: II

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