W e are seeking a highly skilled , hands -on and technically proficient Test Automation Engineering Manager with strong experience in data quality , data integration , and a specific focus on semantic layer validation . This role combines technical ownership of automated data testing solutions with team leadership responsibilities, ensuring that the data infrastructure across platforms remains accurate , reliable, and high performing .
As a leader in the QA and Data Engineering space, you will be responsible for building robust automated testing frameworks, validating GraphQL -based data layers, and driving the team s technical growth. Your work will ensure that all data flows, transformations, and API interactions meet enterprise-grade quality standards across the data lifecycle.
Y ou will be responsible for the end-to-end design and development of test automation frameworks, working collaboratively with your team. As the delivery owner for test automation, your primary responsibilities will include building and automating comprehensive validation frameworks for semantic layer testing, GraphQL API validation, and schema compliance , ensuring alignment with data quality, performance, and integration reliability standards.
You will also work closely with data engineers, product teams, and platform architects to validate data contracts and integration logic, supporting the integrity and trustworthiness of enterprise data solutions.
This is a highly technical and hands-on role, with strong emphasis on automation, data workflow validation , and the seamless integration of testing practices into CI/CD pipelines .
Roles & Responsibilities:
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D esign and implement robust data validation frameworks focused on the semantic layer, ensuring accurate data model , schema compliance, and contract adherence across services and platforms.
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Build and automate end-to-end data pipeline validations across ingestion, transformation, and consumption layers using Databricks, Apache Spark, and AWS services such as S3, Glue, Athena, and Lake Formation.
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Lead test automation initiatives by developing scalable, modular test frameworks and embedding them into CI/CD pipelines for continuous validation of semantic models, API integrations, and data workflows.
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Validate GraphQL APIs by testing query/mutation structures, schema compliance, and end-to-end integration accuracy using tools like Postman, Python, and custom test suites.
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Oversee UI and visualization testing for tools like Tableau, Power BI, and custom front-end dashboards, ensuring consistency with backend data through Selenium with Python and backend validations.
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Define and drive the overall QA strategy with emphasis on performance, reliability, and semantic data accuracy, while setting up alerting and reporting mechanisms for test failures, schema issues, and data contract violations.
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Collaborate closely with product managers, data engineers, developers, and DevOps teams to align quality assurance initiatives with business goals and agile release cycles.
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Mentor and manage QA engineers, fostering a collaborative environment focused on technical excellence, knowledge sharing, and continuous professional growth.
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Expertise in validating data pipelines at the syntactic layer, including schema checks, null/duplicate handling, and transformation validation.
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Hands-on experience with Databricks , Apache Spark , and AWS services (S3, Glue, Athena, Lake Formation).
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Proficient in UI and visualization testing using Selenium with Python , especially for tools like Tableau, Power BI, or custom dashboards.
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Mentor and manage QA engineers , fostering a collaborative environment focused on technical excellence , knowledge sharing, and continuous professional growth.
Education and Professional Certifications