Job Title: Data Testing Lead
Location: Chicago, IL (100% Remote Local Candidates Preferred)
Duration: 612 Months
Rate: DOE
Job Summary We are seeking an experienced
Data Testing Lead to drive end-to-end validation of enterprise data platforms and integrations. The ideal candidate will have strong hands-on expertise in data testing, complex data validation, performance testing of batch processes, and a technical understanding of modern data ecosystems, including
Azure Data Lake,
MuleSoft, and Databus architectures.
This role requires a blend of leadership, deep data analysis skills, and technical expertise to ensure high-quality, reliable, and performance-optimized data pipelines.
Required Skills & Qualifications- 8+ years of overall QA experience with a strong focus on Data Testing.
- Hands-on experience in data warehouse and ETL testing.
- Strong SQL skills with the ability to build complex validation queries.
- Experience validating structured and semi-structured data (JSON, XML).
- Knowledge of cloud data platforms, preferably Azure Data Lake.
- Experience with API and integration testing using tools like MuleSoft.
- Strong understanding of batch performance testing methodologies.
- Experience working in Agile/Scrum environments.
Preferred Qualifications- Experience with Azure ecosystem (ADF, Synapse, Databricks).
- Exposure to automation frameworks for data validation.
- Banking, telecom, or large enterprise data platform experience preferred.