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Raymond James Financial

Wealth management, banking, and investment services

Manager, ETL Testing & Test Data Management

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeSt. Petersburg, FL, USANo salary listed

About the Job

Requirements

  • At least 10 years of overall experience in quality assurance/testing, including strong hands-on experience in ETL/data testing, SQL, data warehousing concepts, and data integration testing.
  • At least 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 a 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 large language model-based agents for test case generation, data validation, data profiling, anomaly detection, or custom AI-driven quality assurance tooling.
  • Experience working in Agile/Scrum environments with frequent releases and cross-functional development teams.
  • Completed bachelor's degree in Computer and Information Science or Information Technology; high school completion is also required.

Responsibilities

  • Lead, mentor, and develop 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 Oracle Data Integrator (ODI).
  • Define and drive the Test Data Management strategy, including data provisioning, subsetting, masking/anonymization, synthetic data generation, and data refresh processes across environments.
  • Champion automation-first testing by evaluating, adopting, and building tools and 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 with Data Engineering, BI/Analytics, and Product teams to embed quality checks early in the data pipeline lifecycle through shift-left testing.
  • Establish metrics, dashboards, and reporting to track test coverage, defect trends, data quality key performance indicators, 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.
  • Work closely with SQM, Development, Data, and Business Partners to ensure delivery of high-quality data and reliable data pipelines.
  • Build a deep understanding of data architecture, ETL processes, data flows, and test data requirements to ensure comprehensive and effective testing.
  • Collaborate with development and testing teams to establish data testing strategies, standards, and reusable frameworks supporting functional, integration, regression, and end-to-end testing.
  • Identify opportunities to improve ETL testing and Test Data Management processes and recommend enhancements to testing methods, tools, automation, and frameworks.
  • Collaborate with SQM teams to ensure data testing and test data practices align with SDLC standards and remain reusable across projects.
  • Collaborate with SQM leadership to ensure appropriate allocation of resources across ETL Testing and Test Data Management activities.
  • Work with Development, Data, and Business teams to establish priorities and facilitate decisions pertaining to data quality and testing.

Desired Qualifications

  • Hands-on experience with Informatica for building and validating ETL workflows/mappings and performing data integration testing is preferred.
  • Hands-on experience with Ab Initio, specifically for data lineage tracking and data comparison across source and target systems, is preferred.
  • Hands-on experience with Oracle Data Integrator (ODI) for testing and validating Oracle-based ETL jobs and data pipelines is preferred.
  • 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.

About the Company

Raymond James Financial

Wealth management, banking, and investment services

Raymond James Financial provides a range of financial services to individuals, corporations, and municipalities, organized into five segments: Private Client Group, Capital Markets, Asset Management, RJ Bank, and Other. Its offerings include financial planning and advisory services, investment banking and research, asset management products, and banking and lending through RJ Bank, earning revenue from advisory fees, commissions, and net interest income. The firm differentiates itself with a strong focus on personalized, client-centric service where financial advisors tailor strategies to each client and foster long-term relationships. Its goal is to help clients achieve their financial objectives by delivering comprehensive solutions across wealth management, banking, and capital markets through a multi-segment business model.

Company size
Not listed
Company stage
IPO
Headquarters
Saint Petersburg, Florida
Founded
1962

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