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# Data Governance & Quality Consultant

- **Company:** SELECT GROUP
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Cloud Engineering, Data Validation, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Security, Database Development, Meta-Data Management, E2e Testing, Snowflake, Apache Spark, Data Strategy, Data Lakes, Alteryx, Databricks
- **Published:** May 27, 2026
- **Apply:** https://www.dice.com/job-detail/e815ab38-a773-41f3-a0b9-3cac96367fcc

## About the Role

* Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.
 * Education: Bachelor's degree in CS, Data Science, or a related technical field.
 * Soft Skills: Exceptional problem-solving abilities and the communication style required for stakeholder management.

## Description

We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services environment. This role requires a hands-on expert capable of navigating complex data ecosystems and collaborating with executive leadership and technical teams to deliver operational excellence.
Core Responsibilities

 * Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency.
 * Framework Development: Design and implement robust data quality standards, governance best practices, and regulatory compliance protocols.
 * Cross-Functional Advisory: Partner with IT and business stakeholders to architect scalable data strategies and resolve high-priority data quality issues.
 * Insights & Reporting: Synthesize complex datasets into actionable dashboards and executive-level briefings.

Technical Expertise

 * Alteryx: Advanced workflow automation, blending, and metadata management (Designer/Server/Connect).
 * Informatica IDMC: End-to-end integration mapping, PDO for ELT, and cloud source integration (AWS S3/Snowflake).
 * Snowflake: Architecture optimization, secure data sharing, and complex SQL development.
 * Databricks: Large-scale processing via Delta Lake, Apache Spark, and cloud-native integrations.
 * ETL/ELT: Design and management of robust migration pipelines and high-performance transformation strategies.


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