Senior Lead Engineer

Job Requirements: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills: Position Responsibilities: Design and implement scalable, fault-tolerant data pipelines to processboth batch and streaming data. Develop data lake and warehouse solutions leveraging services like Snowflake for highperformance analytical processing. Perform advanced data modeling andoptimization, including dimensional modeling, partitioning, clustering, and indexing to ensureefficient data access. Enable realtime analytics and monitoring by building low-latency, event-driven pipelines and integrating with visualization and alerting platforms. Implement data qualitychecks, data lineage tracking, and metadata management to maintain trust and traceability acrossthe organization. Collaborate cross-functionally with product, analytics, and data science teams totranslate business use cases into scalable data solutions. Define and enforce data contracts and dataSLAs, ensuring accuracy, timeliness, and compliance across data products. Create reusableframeworks for ETL orchestration, schema validation, and pipeline testing to acceleratedevelopment across teams. Treating datasets as reusable products with versioning, contracts, andSLAs. Own KPI definitions and metrics logic, ensuring consistent reporting and analytics acrossbusiness units. Partner with senior stakeholders to define strategic data goals, such as customer360, churn prediction, or marketing attribution models. Measure and improve data adoption andimpact, including usage tracking, performance benchmarking, and cost optimization. Conducttechnical interviews and contribute to the development of internal best practices and codingstandards.