Data Steward Consultant(Retail Exp. Must)

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