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 build modern, scalable technology platforms that drive real‑world, long‑term impact.
One of our Berkshire Hathaway portfolio companies is hiring a Principal Data & AI Platform Engineer based in Dallas or Houston, TX .
Role Summary
We are seeking a Principal Data & AI Platform Engineer to define and lead the vision for our enterprise data and analytics ecosystem. In this senior, hands‑on role, you will design and build a modern, Azure and SAP-based data platform—anchored on Microsoft Fabric, OneLake and SAP BDC—that delivers centralized, scalable, and governed capabilities for analytics, reporting, and AI across the organization. You will own the technology roadmap and architectural standards, design the integration and infrastructure‑as‑code frameworks that other engineers build upon, and partner closely with business and technical stakeholders to translate strategy into trusted, production‑grade solutions. The ideal candidate pairs deep, current technical mastery with the judgment to set direction and hands on engineering to ensure the platform is secure, cost‑effective, and aligned to long‑term business goals.
Required Qualifications:
- Bachelor’s degree (Master’s preferred) in Computer Science, Information Systems, or a related field (or equivalent experience).
- 15+ years architecting and hands‑on building scalable, secure, and cost‑effective cloud‑based data and AI platforms, with a track record of delivering centralized, enterprise‑wide capabilities.
- 5+ years Deep, hands‑on expertise with modern cloud data platforms (Azure strongly preferred), including Microsoft Fabric OneLake, data warehousing, and AI/ML architecture.
- 10+ years of designing and operating enterprise integrations across relational databases, SAP BDC/Datasphere/HANA/CPI, Globalscape MFT, Microsoft BizTalk, message buses, and OData/REST APIs.
- 5+ years experience with the Azure service ecosystem , including Azure Functions, Service Bus, Event Grid, API Management, and Container Instances.
- 15+ years demonstrating ability to define technology roadmaps , align architecture to business objectives, and deliver actionable guidance to both technical teams and executive stakeholders.
- 5+ years of enterprise BI , particularly Power BI, including semantic modeling and governed self‑service reporting.
- 5+ years integrating and working with time‑series historians , including PI historian and related operational technology data platforms
- Working knowledge of Generative and Agentic AI capabilities, architectural patterns, and supporting technology stacks.
- Disciplined software‑engineering practices , including Git‑based version control and automated deployment pipelines (CI/CD).
- Proficiency writing clean, reusable, performant code in SQL, Python, and PySpark for data engineering, transformation, and integration tooling.
Note : At this time, this portfolio company will not sponsor a new applicant for employment authorization for this position.
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.
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