Azure Databricks Architect (Locals)

Role Summary Lead the design development and optimization of enterprisescale data platforms and analytics solutions using Azure Databricks Drive data engineering best practices mentor team members and collaborate with business stakeholders to deliver scalable secure and highperformance data solutions This aligns with Chevrons Azurebased DataAnalytics ecosystem. Key Responsibilities Lead the development of scalable data pipelines and ETLELT frameworks using Azure Databricks and PySpark Architect

We're seeking an experienced Azure Databricks Lead Engineer to help shape and manage a modern enterprise data platform. This role is ideal for a hands-on data engineer who enjoys building scalable solutions directly in Databricks, leading migration efforts, and driving automation across data workflows. Responsibilities Design, build, and optimize end-to-end data pipelines within Azure Databricks and Delta Lake. Develop solutions using PySpark, SQL, or Scala to support core data transformations

Job Type Full-time Description Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor signals, drilling and completions records, and power plant telemetry into reliable, decision-ready information. The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and sys

We are seeking a Solution Architect (Contractor) to design and drive enterprise-scale data engineering architectures on Azure Databricks and cloud platforms. This role will define end-to-end data solutions, architecture patterns, and engineering standards to support analytics, AI/ML, and operational use cases. The ideal candidate will combine deep technical expertise with strong business alignment, enabling scalable, secure, and high-performing data platforms. Solution architecture is critical t