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Develops data and AI architectures for strategic customers, leads technical pre-sales engagements, builds proofs of concept, validates cloud and third-party integrations, and advises on data engineering, data science, machine learning, and SQL workflows. The role also promotes Databricks technologies and open-source projects while partnering with sales, product, engineering, and customer teams.

Pre-sales Solutions Architect who defines technical strategy and drives Databricks adoption across large enterprise accounts. Leads technical engagements, builds executive relationships and internal champions, mentors team members, and maps ML/AI use cases to Databricks solutions. Supports proofs-of-concept and guides production implementations.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Build and productionize data and AI solutions for federal government customers using Databricks. Lead architecture, design, and implementation of end-to-end data engineering, machine learning, and application systems. Deliver secure, scalable production architectures, integrate customer systems, guide technical projects, train customers, and collaborate with engineering, product, support, and customer stakeholders. Contribute reusable frameworks and accelerators while managing technical delivery and customer relationships.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.

The Engineering Manager will lead the Spark Structured Streaming team, overseeing development, recruitment, and adoption of Stream Processing technology. Responsibilities include managing technical debt, driving product vision, and fostering team growth.

As a Senior Software Engineer, you'll manage billing systems for Databricks products, enhance infrastructure efficiency, and innovate pricing strategies using AI and big data.

This role involves enhancing security measures, leading engineering efforts in data security, and collaborating across teams to safeguard customer data.