Sr. Staff Platform/Data Reliability Engineer, Databricks (R5537)

Roboticsconnected; San Diego (CA); In loco; USD 160.000 - 200.000; Tempo pieno

Descrizione del lavoro

Shield AI, a defense-tech innovator, seeks a Sr. Staff Platform / Data Reliability Engineer to make the Databricks lakehouse reliable, secure, scalable, and operationally mature for enterprise use.

The role focuses on the platform layer above foundational infrastructure, ensuring regulated data handling and growing production workloads while maintaining governance and efficient deployment patterns. Collaboration with data and cloud teams is essential.

Competenze

• Experience enabling a reliable, secure Databricks lakehouse at scale.
• Ability to work with cross-functional Cloud & Infrastructure teams.

Mansioni

• Owns Databricks reliability, observability, and deployment standards for a scalable lakehouse.
• Collaborates with the Cloud & Infrastructure team to ensure governance, compute policies, and platform enablement patterns for internal users.

Descrizione del lavoro

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description

The Sr. Staff Platform / Data Reliability Engineer is responsible for making Databricks a reliable, secure, scalable, and operationally mature platform for enterprise use. This role focuses on the platform itself rather than domain-specific business modeling, ensuring the lakehouse can support multiple domains, regulated data handling, and a growing set of production workloads without becoming fragile, expensive, or hard to govern. This role partners closely with the Senior Staff Data Engineer, who focuses more heavily on ingestion and medallion implementation patterns, and with the existing Cloud & Infrastructure team, which owns cloud accounts, networking, and foundational infrastructure. The Platform / Data Reliability Engineer owns the Databricks operational layer that sits above that foundation: reliability, observability, deployment standards, compute and job policies, and platform enablement patterns for internal users.