Principal Data Engineer/ Technical Lead

Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running applications that are designed to be AI-native. Trusted by the world’s largest organizations in highly regulated industries, these applications become more secure over time while significantly reducing technical debt—allowing businesses to focus on innovation rather than maintenance. Unqork’s customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply! The Impact U will make: We're seeking an experienced Principal Data Engineer/ Technical Lead who is passionate about implementation and capable of writing high-quality application code In this role, your primary goal is to design and build the services, abstraction layers, and middleware that transform application data needs into specific, high-performance database operations and serve as a dynamic player-coach for our core data engineering squad. As a technical leader, you will directly impact system performance and latency issues that affect our enterprise customers while fostering an inclusive, high-performing engineering culture. Key Responsibilities Act as a player-coach, providing technical direction, architectural guidance, and daily mentorship to a focused team of 3–5 engineers. Conduct thoughtful code reviews and foster professional growth within your squad. Design and implement sophisticated Data Access Layers (DAL) and custom ODMs to translate platform-generated, SQL-like queries into high-performance MongoDB BSON operations and aggregation pipelines. Build and maintain middleware that ensures Unqork’s core business logic remains storage-agnostic, enabling seamless modularity and flexibility across different data storage mechanisms. Architect and scale a multi-tenant, secure MongoDB ecosystem. Lead strategies for ensure high availability while performing deep-dive execution plan analysis (IXSCAN vs. COLLSCAN) to optimize query performance. Plan and architect hybrid data architectures to support operation, transactional and analytical schema and database systems. Use Node.js and JavaScript to build robust microservices (typically GraphQL) and internal libraries that integrate dynamic, metadata-driven data patterns into the Unqork no-code runtime. Design schemas and declarative models that allow non-technical users to build complex application logic without compromising data integrity or system performance. Architect real-time and batch data pipelines using Apache Kafka and Spark to facilitate data transformation and movement between relational and NoSQL systems. Partner with Platform and Backend engineers to standardize data interaction patterns, ensuring high-scale, API-driven performance across the entire enterprise cloud. Partner closely with the Product Management team to influence the product roadmap, translate business requirements into technical specifications, and ensure alignment between product goals and engineering execution Required Qualifications Bachelor's Degree in Computer Science/ Master’s or above preferred 10+ Years of experience in backend, data, or platform engineering, with a proven track record of solving complex latency and implementation challenges for systems supporting millions of users. 2+ Years of experience in a Technical Lead or Player-Coach capacity, with demonstrated success managing, mentoring, and steering a small team of engineers while remaining hands-on in the codebase. Deep, hands-on proficiency with SQL database systems (PostGress), search systems (e.g. Elastic) AND with MongoDB/Atlas, including complex aggregation pipelines, BSON data modeling, sharding, replica sets, and advanced query performance tuning. Strong experience building Data Access Layers (DAL), custom ODMs, or query translation engines that successfully decouple application logic from underlying storage systems. High