Lead Data Engineer

Design and deliver robust, production-grade data-intensive applications and services that power business-critical use cases at scale. This role combines strong software engineering fundamentals with deep data engineering expertise and technical leadership. Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent; Master’s degree preferred.  Roles & Responsibility: Operates effectively with minimal supervision, demonstrating strong ownership and accountability. Translates high-level business requirements into well-designed, scalable, and robust systems and applications. Exhibits exceptional data and software engineering expertise, drives architectural decisions and technology stack selection, establishes high-quality engineering standards, and ensures adherence through thorough code reviews and best practices. Independently leads discussions with stakeholders, gathers and refines requirements, and develops deep domain expertise to deliver effective technical solutions. Design end-to-end systems (ingestion, processing, storage, serving) with minimal supervision. Build and maintain high-quality data products and pipelines on Spark and Databricks. Design event-driven architectures using Kafka and related technologies for real-time data processing. Build backend services and APIs that expose data capabilities reliably and securely. Build and optimize data models for analytical workloads (for example, dimensional modeling, data vault) Write clean, testable, and maintainable software in Scala (preferred) or Java. Drive architecture and design discussions with engineers, architects, and stakeholders. Coach and mentor junior engineers through code reviews, design sessions, and hands-on pairing. Improve engineering standards across testing, observabilit