Lead Software Quality Assurance Engineer (Hybrid ) | Broadridge | Newark, NJ
Lead Software Quality Assurance Engineer (Hybrid )
locations
Newark, NJ
time type
Full time
job requisition id
JR1074038
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.
We are seeking a highly skilled QA Testing Lead (Automation) to drive quality and testing excellence for our growing Data Platform. As part of our Data Engineering team, you will be responsible for designing, building, and leading test automation frameworks and strategies across modern data technologies such as AWS, Snowflake, and PowerBI. You will ensure the end-to-end quality of robust data pipelines, integrations, and analytics solutions that drive key business decisions.
Responsibilities:
Strategy & Leadership
Lead QA activities for Data Pipelines, owning end-to-end automation test strategy, planning, and execution.
Mentor and guide QA automation engineers and ensure best practices are established and followed.
Collaborate closely with Data Engineers, Product Managers, DevOps, and business stakeholders.
Test Automation & Execution
Design, develop, and maintain automated QA frameworks using PyTest, Robot Framework, JUnit/TestNG, or similar tools.
Create and execute high-coverage, maintainable automated test cases for data pipelines and ETL processes, including Apache Airflow DAGs, AWS Glue, and custom Python/SQL test harnesses.
Develop automated test cases for cloud and warehouse services such as AWS S3, Lambda, and Snowflake Datawarehouse.
Conduct API testing using Postman, RestAssured, and SoapUI for RESTful APIs and integrations
Perform UI and BI testing for PowerBI dashboards and data visualizations using Selenium.
mplement and manage data validation and data testing processes with QuerySurge and dbt tests.
Develop and maintain file-based integration tests for formats such as CSV, Parquet, and JSON.
Implement and sustain monitoring, alerting, and notification systems using AWS CloudWatch, SNS, PagerDuty, and Slack/email automation.
Manage source code and automation workflows using Git, Jenkins, GitHub Actions, or similar CI/CD tools.
Write and maintain scripts using Python (preferred), SQL, Bash, or similar scripting languages.
Data Quality Assurance
Validate ETL/ELT processes and ensure data accuracy, completeness, and consistency.
Design and implement automated data validation checks, reconciliation routines, and anomaly detection.
Implement continuous integration/continuous deployment (CI/CD) pipelines for test automation.
Reporting & Improvements
Analyze test results, provide actionable insights, and drive root cause analysis of defects.
Ensure effective alerting and notification mechanisms for quality issues across the platform.
Advocate for improvements in testability, automation, and data quality controls.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
7+ years of experience in QA, with at least 3 years leading QA/testing teams (preferably in the data platform space).
AWS Cloud (S3, Lambda, Glue)
Snowflake, including SQL scripting and data validation
Apache Airflow: DAG orchestration, test automation hooks
PowerBI: Data validation and BI automation testing
File integration: Automation of file ingestion and transformation tests
APIs: RESTful API test automation (tools like Postman, RestAssured, etc.)
CI/CD: Jenkins, GitHub Actions, or similar tools
Programming/Scripting: Python (preferred), SQL, Bash or other scripting languages
Experience with monitoring, alerting, and notification integration (e.g., CloudWatch, SNS, PagerDuty, email or Slack alerts).
Strong knowledge of QA methodologies: functional, regression, integration, performance, and UAT.
Demonstrated ability to communicate clearly and collaborate with cross-functional teams.
Self-driven with strong analytical, organizational, and problem-solving skills.
Preferred Qualifications
Experience with DataOps or similar data platform operational practices.
Familiarity with data governance, security, and compliance in cloud data platforms.
Knowledge of data test automation tools (e.g., Great Expectations, dbt tests, QuerySurge).
ISTQB, AWS, or Snowflake certification(s) a plus.
Compensation Range: The salary range for this position is between $130,000.00-$160,000.00. Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education.
Bonus Eligibility: Bonus Eligible
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