Distinguished Technologist, Distributed Systems - Agentic Query Optimization

Responsibilities Architect, design, and scale large cloud‑native distributed services and data platforms Design and build federated distributed query engines and data services to enable real‑time analytics, dashboards, and ML consumers. Lead the development of customer‑facing services that run on top of the platform (integration, data sharing, observability/analytics services), enabling cross‑service capabilities. Deliver hands‑on technical leadership: prototype, prototype‑validate, and implement solutions using modern development practices and tools, including AI‑assisted coding workflows. Define organization‑wide architectures, methodologies, and roadmaps across multiple teams and products; communicate strategy and influence executive and product stakeholders. Mentor and coach engineering teams, raise architectural and operational standards, and help select and develop future technical leaders. Collaborate with product, customer engineering, and support teams to ensure reliability, performance, and great user experience for customer‑facing services. Contribute to selection of technologies and frameworks, participate in design reviews, and guide cross‑organization implementation choices. Requirements Proficient with AI-First spec driven rapid innovation converting ideas to working prototypes using the AI coding tools. Typically, 15+ years of experience in engineering and architectural leadership, designing, building, and operating large distributed systems and cloud platform services. Bachelor’s, Master’s, or PhD in computer science, engineering, information systems, or a related quantitative discipline preferred. Strong foundations in large‑scale data engineering (OLAP, distributed storage systems, open data formats) and experience with federated datasets. Experience designing and optimizing distributed query engines and low‑latency analytics systems. Deep knowledge of cloud‑native architecture and microservices at scale across public cloud environments (AWS/GCP/Azure) and hybrid scenarios. Hands‑on coding experience in system design and architecture phases; comfort using modern development and AI‑assisted tools. Proven ability to create and communicate technical roadmaps and to influence cross‑functional and executive stakeholders. Experience with Spark, Kafka, Parquet, Go, Java. Large analytics engines or managed analytics services (BigQuery or equivalent) Demonstrated experience operating at senior technical leadership levels (Principal, Distinguished Engineer, or equivalent), with a history of cross‑organization technical impact. Strategic thinker who can translate long‑term vision into executable technical roadmaps. Strong communicator able to present complex technical concepts to executive and non‑technical audiences. Comfortable taking broad ownership and driving projects that touch multiple teams and business units. Hard Skills Distributed Query Engines Low‑Latency Analytics Systems OLAP Spark Kafka Parquet Go Java Cloud Platforms (AWS/GCP/Azure) Microservices Soft Skills Strong Communication Mentoring Strategic Thinking Collaboration Influencing Stakeholders Certifications & Qualifications Bachelor’s Degree Master’s Degree PhD in Computer Science or Related Discipline #J-18808-Ljbffr Jobtailor