This is a remote position.
- 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
Required Qualifications
- 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
Technical Skills
- 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
- Ability to translate business rules into data quality checks, validation queries, and repeatable monitoring processes
- 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
Preferred Qualifications
- Experience supporting data governance programs, data councils, or domain-based data ownership models
- Familiarity with BI tools such as Power BI, Tableau, or Looker
- Experience with data observability, data catalog, data quality, or metadata management tools
- Knowledge of data privacy, security, compliance, and access control concepts
- Exposure to DataOps practices, version control, release management, and change control for analytics assets
- Experience working in Agile/Scrum environments and partnering with product managers, analysts, engineers, and business stakeholders