What are the responsibilities and job description for the Quality Assurance Lead position at KamisPro?
We are hiring a hybrid QA Lead for a long-term contract, (12 months .) Candidates must be able to go onsite in Adelphi, MD.
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.
Salary : $100,000 - $160,000