Data Governance & Quality Consultant
SELECT GROUP
Seattle, United States of America
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Remote
Seattle, United States of America
Tech stack
Amazon Web Services (AWS)
Cloud Engineering
Data Validation
Data Governance
Data Integrity
ETL
Data Security
Database Development
Meta-Data Management
E2e Testing
Snowflake
Spark
Data Strategy
Data Lake
Alteryx
Databricks
Job 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.
Requirements
- 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.