Job Title: Data Migration Test Analyst - Snowflake SQL Azure
Location: Seattle, WA (Hybrid - Local Candidates Only)
Important: This is not a traditional QA Automation, Manual QA, Selenium, Cypress, Playwright, SDET, or Web Application Testing position.
We are looking for professionals with hands-on experience in Data Migration Testing, Data Warehouse Testing, ETL/ELT Validation, SQL Data Validation, Snowflake, and Source-to-Target Data Reconciliation. Candidates whose experience is primarily focused on UI testing, test automation frameworks, functional QA, mobile testing, or general application testing are unlikely to be a good fit for this role.
Local candidates in the Greater Seattle area who can work in a hybrid onsite environment are strongly encouraged to apply.
Join a large-scale enterprise data modernization program supporting the migration of critical business data into Snowflake within a Microsoft Azure environment. This role focuses on validating enterprise data migrations by ensuring data accuracy, completeness, integrity, transformation, and reconciliation between legacy systems and the target Snowflake platform.
This opportunity is best suited for professionals with experience in:
Enterprise Data Migration Testing
Data Warehouse Testing
ETL/ELT Validation
Data Quality Testing
SQL Data Validation
Source-to-Target Mapping and Reconciliation
Snowflake Migration Projects
5+ years of experience in Data Migration, Data Warehouse, ETL, or Data Quality Testing.
Strong experience validating enterprise data migration initiatives.
Hands-on experience with Source-to-Target Data Validation and Reconciliation.
Advanced SQL skills for data validation and analysis.
Experience testing ETL/ELT pipelines and data transformations.
Hands-on experience with Snowflake.
Experience working within Microsoft Azure data environments.
Experience validating APIs and data integrations.
Experience creating test strategies, test plans, and test documentation.
Experience validating large datasets and enterprise reporting.
Familiarity with Azure DevOps, Jira, or similar test management tools.
Validate enterprise data migrations from legacy platforms into Snowflake.
Perform source-to-target reconciliation across large datasets.
Validate ETL/ELT pipelines, transformation logic, and business rules.
Develop SQL queries for data validation and reconciliation.
Investigate data quality issues, anomalies, and transformation defects.
Execute functional, integration, regression, and user acceptance testing for migration initiatives.
Validate reports, dashboards, and analytics following data migration.
Collaborate with Data Engineers, Data Architects, Business Analysts, and Product Owners to resolve data quality issues.
Document testing results, defects, root cause analysis, and validation evidence.
Experience with the following technologies is highly desirable:
Alteryx Designer or Alteryx Server
Automated Data Validation and Reconciliation
QuerySurge or similar data comparison tools
Snowflake migration projects
Azure Data Factory
Data Profiling and Data Quality Monitoring tools
Power BI dataset validation
Python scripting for data validation and testing automation
Candidates with experience in the following industries will be given preference:
Banking
Financial Services
Credit Union
Lending
Wealth Management
