Teams at Databricks

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.

Build and maintain scalable AWS infrastructure, observability platforms, Kubernetes workloads, Infrastructure as Code, and CI/CD pipelines. Develop automation tools and AI-assisted workflows, establish secure logging, metrics, and tracing standards, optimize cloud environments, and collaborate with security and engineering teams. The role also includes troubleshooting, documentation, code reviews, operational playbooks, and knowledge sharing.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.