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Data Quality Analyst

The Select GroupTukwila, WA🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

This hybrid Data Quality Analyst role offers a fantastic opportunity to shape enterprise-level data integrity and compliance within a leading financial services firm, with significant scope for strategic influence. You'll thrive here if you possess strong analytical skills and expertise in Alteryx, Informatica, Snowflake, and Databricks, eager to drive operational excellence and deliver impactful insights. Apply now to make a significant contribution and grow your career in a dynamic environment.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Tukwila, WA, United States

Posted

1 week ago

SQLAWSETLSnowflakeApacheApache SparkComplianceDatabricksRegulatory ComplianceStakeholder Management

Job Description

Data Governance & Quality Consultant
Seattle, WA / Remote
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.

Qualifications

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.

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