Senior Staff Principal Enterprise Architect (Data Analytics and AI)

Berkshire Hathaway companies power some of the most critical systems in North America—spanning transportation, energy, logistics, manufacturing, retail, and infrastructure. At BRK Tech, we partner across these businesses to design, build, and operate modern technology platforms that run at massive scale and support long‑term, real‑world impact.

We are hiring for a Sr Staff Principal (Data Analytics and AI) - Network for a Berkshire Portfolio company based onsite in Reno NV, Salt Lake City UT, Des Moines IA, Omaha NE, Portland OR, or Glen Allen/Richmond VA.

Required Education & Experience

• Bachelor’s degree in computer science, information systems, or related field; or an equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor’s degree.
• A minimum of 9 years of extensive progressive IT experience with broad exposure to applications, data, infrastructure, and integration technologies.
• A minimum of 2 years additional directly related technical experience is required.
• Experience designing and implementing complex enterprise data and analytics architectures using Databricks and open-source data platforms (e.g., Hadoop, Apache Spark), including the underlying open-source infrastructure required to support scalable, high-performance data solutions.
• Experience with AI/ML solution architecture and model training; governance and risk management; executive communication; architecture review; current-state / future-state architecture and roadmap development; vendor and platform evaluation; strong collaboration across infrastructure, cyber, application development, data, and business teams.
• Strong understanding of AI/ML patterns and model training.
• Large enterprise experience in regulated, complex environments; demonstrated ability to work across architecture, infrastructure, cybersecurity, data, application delivery, and business operations; experience turning ambiguous business needs into governed, scalable technology patterns.
• Hands on experience with Azure, Microsoft 365 / Copilot ecosystem, GitHub / GitHub Copilot, Azure DevOps, enterprise data platforms, MCP/API gateways, integration and transformation platforms, Kafka / event streaming, cloud and container platforms, Kubernetes / Tanzu, Nutanix / virtualization, identity and access management, secrets management, observability, and cyber recovery concepts.

Preferred :

• Experience with energy / utility business processes; platform engineering; operating model design; AI agent governance; developer productivity metrics; FinOps; data governance; enterprise portfolio rationalization.
• Experience with OpenAI / Anthropic Claude, RAG patterns, MCP servers, LangChain / LangGraph, Semantic Kernel, CrewAI, Copilot Studio, AI governance tools, EA repositories, CMDB integration, automation/self-service platforms, and modern developer experience tooling.
• Expereince with energy, utilities, critical infrastructure, or other highly regulated industries.

Note : this role does not offer sponsorship now or in the future.

The Company recruits for positions located in the United States and does not market employment opportunities to individuals located in the European Economic Area or United Kingdom. Individuals who voluntarily submit applications from outside the United States do so on their own initiative. By submitting an application, you acknowledge that your personal information may be collected, used, and shared with the Company, its affiliates, and authorized recruiting partners for recruitment, hiring, and employment-related purposes. Applicants may have certain rights regarding their personal information under applicable law, including the California Consumer Privacy Act, as amended.