Staff Data Engineer - Governance
Required skills
8+ years in Data Engineering, Platform Engineering, or Software Engineering, Demonstrated expertise building and scaling distributed systems and data platforms, Deep hands-on experience with Apache Kafka, Apache Flink, Apache Spark, Delta Lake, or similar technologies, Strong knowledge of streaming architectures, real-time data processing, and event-driven systems, Solid foundation in software engineering including design patterns, testing, CI/CD, versioning, clean code, Proficiency in modern languages such as Scala, Java, or Python, Expertise in SQL, data modeling, and performance tuning for analytical and transactional workloads
Preferred skills
Experience implementing or working with Model Context Protocol (MCP) or modern AI infrastructure paradigms, Familiarity with ML Ops, feature stores, and model deployment frameworks, Knowledge of data governance principles, observability stacks, and RBAC/RLS at scale
Technologies
Kafka, Flink, Spark, Delta Lake, Scala, Java, Python, SQL
Responsibilities
Design, implement, and optimize distributed data systems, Build and maintain low-latency, high-throughput pipelines, Translate business requirements into robust, scalable architectural patterns, Write high-quality, maintainable code and establish patterns, Help bridge traditional machine learning workloads with modern AI-based decision systems, Work cross-functionally with Product, AI, and Software Engineering teams
Seniority
Sr. Staff Data/Platform Engineer (8+ years experience)
Domain
Data Engineering, Platform Engineering, AI Infrastructure, Distributed Systems