Data Quality Lead (Microsoft Azure / Power BI) Hybrid - Farmington, CT or Morristown, NJ
Arch Capital Group
- Location
- Farmington CT United States of America
- Work model
- Hybrid
- Level
- Senior
- Posted
- 22h ago
Skills
About this role
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
The Position
As a Data Quality Lead, you will be responsible for leading quality assurance efforts of Reinsurance Datawarehouse Application used extensively by Reinsurance business teams. The QA lead will work closely with the rest of the Arch Re product management team and business peers to effectively check quality and prepare evidence for Business and Audit signoff for Datawarehouse and Business intelligence project initiatives. The Role will be overseeing the full QA process to ensure reliable, high-quality software delivery. This role establishes and communicates QA standards, coordinates all aspects of software testing, and ensures alignment with business objectives. The ideal candidate has hands-on experience validating complex data transformations, managing test automation for pipelines, and leading cross-functional teams on cloud data in high scale environments, driving continuous improvement of our data quality and delivery in a fast-paced and deadline-driven environment. Location / Work Arrangement This is a hybrid role based in the Farmington, CT office or Morristown, NJ , with an expectation of regular in-office collaboration 3x a week.
Job Responsibilities
Lead QA efforts of Reinsurance Datawarehouse Application releases Critically analyze business requirements, build and execute QA test plan for Datawarehouse solutions. Design the Master Test Plan (MTP) for data projects, choosing between manual spot-checks and automated regression suites Lead a team of QA Analysts, reviewing their SQL scripts and test cases Work with DevOps to integrate automated data tests into the deployment pipeline Implement automated checks for data completeness and referential integrity within Snowflake Verify Role-Based Access Control (RBAC) and data masking (PII/Sensitive financial data) to ensure compliance with GDPR or industry-specific regulations Reconcile Power BI report against Snowflake raw data and source systems using complex SQL Establish, maintain, and communicate quality assurance standards, procedures, and policies, including guidelines and best practices for test environment management. Work closely with product manager to develop and execute action plans to address gaps if any Produce quality control evidence for business and audit approval, as required Lead User Acceptance Testing with Finance, Actuaries and Underwriters to ensure solution meets business needs Communicate effectively with both the business and technical teams Desired Skills Deep understanding of QA methodologies, testing tools, defect management, and Agile/Scrum delivery practices . Advanced SQL skills, including complex joins, CTEs, window functions, data reconciliation, and data validation techniques. Strong experience with Power BI Desktop and Service , including DAX, Power Query (M), and report validation; experience with Tableau, Cognos, SSRS, or similar BI tools is beneficial. Strong analytical and problem-solving skills, with the ability to identify data anomalies, root causes, and reporting issues. Experience in reinsurance, insurance, or financial services , including familiarity with treaties, premiums, claims, and loss triangles. Experience working with third-party vendors and cross-functional business and technology teams to deliver quality solutions. Excellent communication, organizational, and stakeholder management skills. Strong business orientation with a demonstrated ability to deliver quality outcomes aligned with organizational objectives. Required Education/Experience Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, or a related field required. Minimum of 5+ years of Data Warehouse,