Data Governance Consultant

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🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

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Visvero | Analytics, That's IT!

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

🤖 Artificial Intelligence

Artificial Intelligence • Data Engineering • Digital Transformation

Visvero is a data analytics and digital transformation company that specializes in maximizing the potential of data through expert analytics services and tailored solutions. With a focus on AI and machine learning, data engineering, and project management, Visvero helps businesses across various sectors—from manufacturing to finance—navigate and succeed in their digital transformations, delivering actionable insights and fostering efficiency. Their commitment to excellence is demonstrated through industry partnerships and a success-centric methodology that has earned the trust of over 30 Fortune 500 clients.

📋 Description

• 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

• 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

• Health insurance • Professional development opportunities