Data Governance Consultant

Visvero | Analytics, That's IT!

Data Governance Consultant responsible for defining data quality rules and partnering with BI teams for analytics. Utilizing SQL, dbt, and Snowflake for monitoring data integrity and governance.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Define, document, and maintain data quality rules, business definitions, and validation standards for key reporting and analytics data assets
Use SQL, dbt, and Snowflake to profile data, investigate quality issues, validate transformations, and confirm data readiness for business use
Partner with BI teams to ensure dashboards, reports, metrics, and curated datasets are supported by trusted and well-understood data
Monitor recurring data quality checks, identify anomalies, document root causes, and coordinate remediation with data owners and technical teams
Maintain metadata, data lineage, business glossaries, and data issue logs to improve transparency and usability of data assets
Promote data governance and stewardship best practices by educating stakeholders on data standards, ownership, and proper use of certified data

Requirements

What you’ll need

Experience in data stewardship, data governance, data quality, business intelligence, analytics, or data management
Strong SQL skills with experience profiling data, validating business rules, researching discrepancies, and supporting reporting accuracy
Hands-on experience with dbt, including data tests, documentation, lineage, model review, and transformation validation
Experience working with Snowflake or similar cloud data warehouse platforms
Understanding of data governance, metadata management, data lineage, data quality dimensions, and data lifecycle concepts
Advanced SQL for data analysis, reconciliation, profiling, exception identification, and validation of reporting data
Working knowledge of Snowflake objects, data structures, query performance considerations, and access patterns
Experience using dbt tests, source freshness checks, documentation, exposures, and lineage to support trusted data delivery
Familiarity with BI reporting datasets, semantic layers, KPIs, dimensional models, and curated analytics tables
Experience documenting data definitions, transformation logic, ownership, lineage, and known data limitations
Strong analytical problem-solving skills with the ability to investigate data issues across source, transformation, and reporting layers
Comfort working with ticketing, issue tracking, version control, and collaborative documentation tools

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLData ProfilingData ValidationData Quality RulesData LineageMetadata ManagementData TransformationData AnalysisData DocumentationData Issue Tracking

Soft Skills

Analytical Problem-SolvingCollaborationCommunication