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Lead customer-facing, production-grade data and AI projects on the Databricks platform: design architectures, build end-to-end data pipelines, integrate ML/AI models and applications, embed with customer teams, deliver scalable secure solutions, contribute reusable accelerators, and collaborate cross-functionally to drive measurable outcomes.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads architecture, implements data pipelines, ML/AI model integration, CI/CD deployments, and reusable accelerators while collaborating with customers and cross-functional teams to deliver measurable business outcomes.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, ML/AI integrations, applications, and reusable assets. Embed with customers, guide adoption, manage technical delivery, and collaborate cross-functionally to drive measurable outcomes.

As a Sr. Staff Software Engineer, you will optimize large-scale distributed systems, deliver scalable architectures, debug, mentor engineers, and drive technical projects across teams.

Lead customer-facing projects to design, build, and productionize data and AI solutions on Databricks. Own architecture, implement end-to-end data pipelines, ML/AI model integration, and user-facing applications; collaborate with engineering, product, and support to deliver scalable, secure systems and reusable accelerators while driving customer adoption and measurable outcomes.

Lead a team of researchers to improve large-scale machine learning, focusing on efficiency, optimization, and scaling techniques for AI models.

The role involves leading complex, cross-functional programs in enterprise software, influencing roadmap decisions, driving execution across organizations, and ensuring successful product launches and customer adoption.

Owner/operator for Procure-to-Pay subprocesses: map and redesign workflows, build and deploy automations and data products (SQL/Python/Databricks), maintain P2P datasets and dashboards, drive adoption through change management, and prioritize intake and backlog across Procurement.

Design, train, and deploy ML models and pipelines to optimize Databricks serverless compute. Build end-to-end ML4Sys solutions, scale infrastructure, implement optimization and scheduling algorithms, and collaborate on product roadmap to improve performance and cost efficiency.