REQ 1
JOB DESCRIPTION:
Job Title: Data Governance & Enablement Analyst: III
Client Location: Canada - Nearshore - LATAM
Contract: 12+ Months (Long Term Contract)
Mode of Work: Remote
Data Governance Enablement Analyst (Atlan)
Reports to: Data Governance Manager / Data Enablement Lead Role Overview: 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. Key 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 Required 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 Preferred Qualifications
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.
REQ 2
JOB DESCRIPTION:
Job Title: Data Governance & Enablement Analyst: II
Client Location: Canada - Nearshore - LATAM
Contract: 12+ Months (Long Term Contract)
Mode of Work: Remote
Data Governance Enablement Analyst (Atlan)
Location: Nearshore - LATAM Reports to: Data Governance Manager / Data Enablement Lead
Role Overview: 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. Key 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 Required 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 Preferred Qualifications
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.
REQ 3
JOB DESCRIPTION:
Job Title: Data Privacy & Compliance Specialist: II
Client Location: Canada - Nearshore - LATAM
Contract: 12+ Months (Long Term Contract)
Mode of Work: Remote
Data Privacy & Compliance Analyst
Location: Nearshore - LATAM
Reports to: Data Privacy Manager / Data Governance & Risk Lead Role Overview: The Data Privacy & Compliance Analyst is a hands-on role responsible for operationalizing data privacy, retention, and regulatory compliance controls across the enterprise data ecosystem. This role ensures that personal, sensitive, and regulated data is identified, classified, retained, minimized, and disposed of in accordance with applicable laws, internal policies, and risk tolerance. You will work closely with Data Governance, Security, Legal, and Engineering teams to embed privacy-by-design and compliance-by-design into data platforms, analytics workflows, and operational processes using automation and tooling rather than manual enforcement. Key Responsibilities
Data Privacy Operations & Controls
Implement & operate data privacy controls across structured & semi-structured data platforms
Identify, classify, and tag regulated data (PII, PHI, NPI, PCI) across enterprise data assets
Maintain records of processing activities (RoPA) and data inventories for regulated data
Support privacy impact assessments (PIAs/DPIAs) and risk assessments for new data uses Retention, Minimization & Disposal
Operationalize data retention schedules by data domain, classification, and regulatory obligation
Partner with data engineering & platform teams to implement automated retention & deletion controls
Monitor & validate execution of data disposal, minimization, and archival processes
Manage exceptions such as legal holds and regulatory investigations DSAR & Individual Rights Enablement
Support data subject access requests (DSARs), including access, correction, deletion, & portability
Coordinate identity validation, data retrieval, response timelines, and audit evidence
Partner with Legal and Customer Operations to ensure compliant, timely responses
Tooling & Platform Integration
Configure and operate privacy and compliance platforms such as Securiti, BigID, or Microsoft Purview
Integrate privacy tooling with data platforms, catalogs, and security controls
Ensure classifications, policies, and controls are synchronized across governance, privacy, and security tools Monitoring, Reporting & Audit Support
Monitor compliance posture and control effectiveness through dashboards and reports
Produce evidence for internal audits, external audits, and regulatory inquiries
Track issues, risks, and remediation actions related to privacy and compliance gaps
Support continuous improvement of privacy controls based on audit findings and incidents Required Qualifications
3 5 years of experience in data privacy, compliance, data governance, or risk management
Hands-on experience operating privacy or data discovery platforms
Working knowledge of privacy regulations (HIPAA, GLBA, CCPA/CPRA, GDPR, state privacy laws)
Understanding of modern data architectures (cloud data platforms, analytics, BI, SaaS systems)
Ability to work cross-functionally with Legal, Security, Data Engineering, and Governance teams
Preferred Qualifications
Experience supporting healthcare and/or financial services data
Familiarity with data retention, records management, and legal hold processes
Exposure to data catalogs, lineage, and metadata-driven controls
Experience with SQL, APIs, or automation to support scalable privacy operations
Certifications such as CIPP/US, CIPP/E, CIPM, or equivalent experience What Success Looks Like
Regulated data is consistently identified, classified, and governed across platforms
Retention and disposal controls are automated and auditable
DSARs are fulfilled accurately and within regulatory timelines
Privacy risks are detected early and remediated proactively
Privacy compliance is embedded into data workflows not enforced after the fact Why This Role Matters
This role is essential to protecting customer trust and reducing regulatory and reputational risk as data usage scales. You will help transform privacy from a manual, reactive function into a modern, automated operational capability that enables analytics, AI, and self-service data safely and compliantly.
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