Lead Data Test Engineer

Position Summary: The Data Assurance & Validation Lead/ Data Assurance Manager is responsible for ensuring the accuracy, integrity, and consistency of enterprise data across migration, transformation, and reporting projects. This role blends leadership with hands-on execution-overseeing data quality strategy, ETL testing, and client engagement while also directly performing complex SQL validation and data reconciliation. The ideal candidate will build client confidence, mentor team members, and independently drive project delivery from planning through validation sign-off. Key Responsibilities

• Lead end-to-end data validation and assurance for data migration, transformation, and consolidation initiatives.
• Act as the primary liaison with the client, translating business and technical requirements into actionable data validation plans.
• Review and interpret Source-to-Target Mapping (STTM) documents to confirm transformation accuracy, business rule alignment, and data lineage completeness.
• Perform hands-on SQL analysis and reconciliation across multiple relational databases (Oracle, SQL Server, PostgreSQL).
• Validate ETL workflows and transformations using tools such as Informatica, DataStage, Azure Data Factory, or AWS Glue.
• Collaborate with data engineers, developers, and BI/reporting teams to resolve data discrepancies and ensure end-to-end accuracy.
• Design and execute data quality test plans, including record-count checks, transformation verification, and exception handling.
• Establish repeatable templates, reusable queries, and documentation standards for data validation projects.
• Monitor and report progress, issues, and data quality metrics to internal leadership and client stakeholders.
• Mentor junior team members and coordinate testing deliverables across distributed teams.
• Proactively identify risks, recommend process improvements, and support continuous enhancement of data quality practices.

• 10+ years of experience in data assurance, ETL testing, or data migration validation across complex enterprise environments.
• Advanced SQL skills for profiling, transformation validation, and reconciliation.
• Hands-on experience with Oracle, SQL Server, and PostgreSQL databases.
• Proficient in ETL tools such as Informatica, DataStage, Azure Data Factory, or AWS Glue.
• Demonstrated understanding of Source-to-Target Mapping (STTM) and ability to validate transformation logic end-to-end.
• Exposure to data analytics and reporting validation (e.g., Tableau, Power BI, OBIEE).
• Strong communication and presentation skills with experience engaging directly with clients.
• Ability to work independently and take full ownership of deliverables without constant supervision.
• Experience working within Agile/Scrum frameworks and using tools like JIRA or Azure DevOps., * Experience leading small teams or coordinating distributed QA/ETL resources.
• Familiarity with data governance, data lineage, and quality frameworks.
• Experience in federal or financial domains.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.