Job description

We are hiring a hybrid QA Lead for a long-term contract, (12 months+.) Candidates must be able to go onsite in College Park, MD approximately 1 or 2 days a week. Are you ready to lead the charge in quality for a cutting-edge Data & AI platform? You’ll own QA and UAT for a platform built on Databricks, delivering AI/ML solutions, BI dashboards, and high-volume data integrations. You’ll work with tools like Azure Purview, Profisee, and Monte Carlo to ensure our data products meet the highest quality standards. What you’ll do • Build and lead a QA function: define roles, processes, templates and best practices for data, BI, and automation testing. • Develop, manage and execute test plans for: • ETL/ELT pipelines on Databricks and other platforms • ML model workflows (training, scoring, deployment) • BI dashboards, self-service analytics & static reports • APIs and real-time data integrations (internal & external) • Perform data validations and quality checks using SQL, Python and tools like Monte Carlo and Great Expectations. • Own functional, integration, regression and smoke testing, track defects, collaborate with development teams. • Lead User Acceptance Testing (UAT): prepare business-aligned test scenarios, facilitate business users, manage feedback and retest cycles until production readiness. • Drive data governance quality: leverage Azure Purview for cataloging/lineage/compliance; support Profisee for master data consistency; use observability tools for anomaly detection and data reliability. • Operate within a SAFe Agile environment: attend PI planning, sprints, coordinate with DevOps, Data Engineers, Data Scientists and Product Owners; integrate QA into CI/CD pipelines; manage test environments and data provisioning. • Enhance QA automation: build and maintain suites for APIs, data pipelines and quality validation; use test management/defect tools such as Azure DevOps, JIRA and TestRail; continuously improve QA tooling and processes. What you bring • 5 + years in QA roles focused on data platforms and analytics—with direct experience building/leading a QA team in that domain. • Demonstrated expertise testing data pipelines, BI tools, and AI/ML workflows on Databricks. • Strong SQL and Python skills for automation and data validation. • Experience managing UAT with business stakeholders. • API testing and data integration validation experience (Postman, REST Assured). • Comfortable working in a SAFe Agile environment. • Excellent communication skills—able to bridge technical and non-technical stakeholders. Nice-to-haves • Experience with cloud-native data platforms (Databricks strongly preferred; Azure Synapse, Snowflake or GCP BigQuery a plus). • Knowledge of MLOps and ML/AI model testing techniques. • Familiarity with data governance and compliance frameworks (GDPR, HIPAA). • ISTQB or similar QA certification. Why join us • High-impact role: you’ll lead QA for advanced AI & data solutions on a modern, Databricks-powered platform. • Cutting-edge technologies: work with Monte Carlo, Azure Purview, Profisee and more. • Dynamic, collaborative environment: join a high-performing cross-functional team of engineers, data scientists and business users in a SAFe Agile setting.

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