Manager – ETL Testing & Test Data Management

Raymond James•Saint Petersburg, FL

2d•Hybrid

About The Position

This position will lead ETL/Data Testing and Test Data Management initiatives by working closely with SQM, Development, Data, and Business Partners to ensure the delivery of high-quality data and reliable data pipelines. The role requires a deep understanding of data architecture, ETL processes, data flows, and test data requirements to ensure comprehensive and effective testing. The Manager will collaborate with development and testing teams to establish data testing strategies, standards, and reusable frameworks that support functional, integration, regression, and end-to-end testing. This role also involves identifying opportunities to improve ETL testing and Test Data Management processes, recommending enhancements to testing methods, tools, automation, and frameworks, and driving the adoption of innovative technologies, including AI agents, for test case generation, data validation, anomaly detection, and synthetic test data creation. Collaboration with SQM teams ensures data testing and test data practices align with SDLC standards and remain reusable across projects. The Manager will also collaborate with SQM leadership to ensure appropriate allocation of resources across ETL Testing and Test Data Management activities and work closely with Development, Data, and Business teams to establish priorities and facilitate decisions pertaining to data quality and testing.

Requirements

10+ years of overall experience in QA/Testing, with strong hands-on experience in ETL/Data Testing, SQL, data warehousing concepts, and data integration testing.
Mandatory hands-on experience with Informatica for building and validating ETL workflows/mappings and performing data integration testing.
Mandatory hands-on experience with Ab Initio, specifically for data lineage tracking and data comparison across source and target systems.
Mandatory hands-on experience with Oracle Data Integrator (ODI) for testing and validating Oracle-based ETL jobs and data pipelines.
5+ years of experience in Test Data Management, including data masking, subsetting, synthetic data generation, data provisioning, and TDM tools such as Informatica TDM, CA Test Data Manager, or similar.
Proven experience leading and managing testing teams, including ETL testing, Test Data Management, or cross-functional data quality teams.
Strong SQL skills and solid understanding of data warehousing, data lakes, and cloud data platforms such as Snowflake, Redshift, BigQuery, Databricks, or similar technologies.
Demonstrated experience with test automation for data pipelines, including Python/PySpark frameworks, dbt tests, Great Expectations, or similar tools.
Working knowledge of or hands-on experience with CI/CD pipelines and integrating automated data testing into deployment workflows.
Working knowledge of or hands-on experience adopting AI/agentic solutions for testing, including LLM-based agents for test case generation, data validation, data profiling, anomaly detection, or custom AI-driven QA tooling.
Strong analytical and problem-solving skills, with a demonstrated ability to drive process improvements, innovation, and automation in data testing practices.
Excellent communication and stakeholder management skills, with the ability to collaborate across technical and business teams and present effectively to senior leadership.
Experience working in Agile/Scrum environments with frequent releases and cross-functional development teams.
General Experience - 6 to 10 years
Manager Experience - 3 to 6 years

Nice To Haves

Exposure to scripting and development of custom testing and automation utilities is preferred.
Experience piloting or scaling AI-driven testing initiatives is preferred.
Experience with cloud platforms and native data services such as AWS, Azure, or GCP is preferred.

Responsibilities

Lead, mentor, grow ETL Testing and Test Data Management teams, ensuring high performance, clear priorities, and career development for team members.
Own the end-to-end test strategy for ETL/data pipelines — covering source-to-target validation, transformation logic, data completeness, accuracy, reconciliation, and performance testing.
Drive data lineage validation and data comparison testing using Ab Initio and oversee testing of Oracle-based ETL jobs built on ODI (Oracle Data Integrator).
Define and drive the Test Data Management strategy, including data provisioning, sub setting, masking/anonymization, synthetic data generation, and data refresh processes across environments.
Champion automation-first testing — evaluate, adopt, and build tools/frameworks (including AI-driven/agentic solutions) to reduce manual testing effort and increase test coverage.
Explore and implement AI agents to automate repetitive data testing tasks such as test case generation, data profiling, anomaly detection, schema drift detection, and synthetic test data creation.
Partner closely with Data Engineering, BI/Analytics, and Product teams to embed quality checks early in the data pipeline lifecycle (shift-left testing).
Establish metrics, dashboards, and reporting to track test coverage, defect trends, data quality KPIs, and team productivity.
Manage stakeholder relationships, set delivery timelines, and ensure testing milestones align with overall project/program schedules.
Stay current with emerging trends in data quality engineering, test automation, and AI/ML-based testing tools, and bring innovative ideas into the team's roadmap.