InfraTech Solutions · 11 hours ago
Lead Data Test Engineer
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expInfraTech Solutions is a highly successful and established organization seeking an experienced Lead Data Quality and Validation Engineer to spearhead critical enterprise data quality initiatives. The role focuses on maintaining data integrity and reliability while leading a team of data test professionals and collaborating with engineering teams to optimize the quality assurance lifecycle across complex data platforms.
Information Technology & Services
Responsibilities
Partner with development, product, and business stakeholders to implement, validate, and test complex data solutions across various heterogeneous data platforms
Provide technical leadership and mentorship to the team, setting standards for high-quality, efficient data testing deliverables
Design, develop, and execute sophisticated data validation and ETL/ELT testing strategies to guarantee the accuracy, consistency, and completeness of data flowing through complex pipelines
Establish, implement, and govern robust data quality frameworks, validation rules, and automated monitoring systems to ensure end-to-end trust in data assets
Oversee integration and data flow testing across disparate data technologies (e.g., various RDBMS and cloud-native database systems)
Coordinate quality assurance efforts related to the presentation and consumption of data within user-facing applications (web and mobile)
Conduct continuous analysis and reporting on quality metrics, defect trends, and overall testing performance to technical and non-technical audiences
Ensure the seamless integration of data quality practices and automation into the continuous integration/continuous delivery (CI/CD) development lifecycle
Proactively research and recommend new data technologies, tools, and testing methodologies to drive technical evolution and efficiency within the function
Qualification
Required
Bachelor's or Master's degree in a quantitative or technical field, or equivalent practical experience
A minimum of 7 years of specialized experience in data testing, QA engineering, or data engineering, including significant experience in a technical leadership or managerial capacity (2+ years)
Demonstrated history working with mission-critical, high-volume transactional data sets and enterprise data environments
Expert-level proficiency in SQL—must be able to construct and optimize highly complex queries for validation, data reconciliation, and deep analysis across various database dialects
In-depth understanding of data integration patterns (ETL/ELT), data orchestration, and associated scheduling tools
Proven hands-on experience validating data integrity and transformations across diverse storage formats, including RDBMS, NoSQL, and structured/semi-structured files (e.g., JSON, XML)
Solid experience utilizing scripting languages, particularly Python, for complex data validation, test automation, and tooling development
Working knowledge of modern Agile methodologies and continuous delivery QA best practices
Exceptional ability to communicate technical concepts clearly and manage multiple critical projects simultaneously in a fast-paced environment
Preferred
Experience overseeing quality assurance for data consumption layers, including user-facing web and mobile applications, is highly advantageous
Company
InfraTech Solutions
InfraTech Solutions is comprised of highly-specialized recruiters, bringing 14+ years of expertise in the IT Infrastructure market.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase