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Lead customer technical strategy, architecture discussions, Databricks adoption, and production deployments across data engineering, AI/ML, and real-time analytics. Advise senior technical stakeholders, design scalable cloud-native solutions, demonstrate competitive differentiation, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Design, implement, and optimize low-level application frameworks and core system infrastructure. Focus on JVM internals, memory management, concurrency, and performance tuning. Collaborate on architecture, mentor junior engineers, troubleshoot complex system issues, and contribute to scalable distributed systems.

Sell Databricks Lakebase (managed Postgres) to platform, application, and data teams. Drive revenue by qualifying opportunities, running POCs, navigating complex sales cycles, enabling field teams, and partnering cross-functionally to standardize Postgres and modernize operational data foundations for AI-native applications.

The AI Engineer will develop innovative GenAI applications, manage production rollouts, collaborate with teams, and act as a technical advisor to customers.

Design and implement next-generation query engine and structured storage systems focused on performance optimization and data management.

The role involves designing and implementing next-gen database systems focusing on query optimization, execution, and efficient storage structures.

As a Senior Solutions Architect, you will provide technical leadership in data engineering and AI, collaborate with sales teams, and develop solutions using the Databricks platform.

Lead and scale a regional Technical Solutions/Support engineering team in India: hire, mentor, drive escalations, improve processes, coordinate with Sales and engineering, and provide hands-on technical leadership to resolve complex customer issues and meet KPIs.

The Senior Staff Software Engineer - Privacy will enhance security for customers, attracting top talent, and representing the discipline at various events while overseeing data security initiatives.

The role involves defining and executing the vision for Databricks AI, collaborating with engineering teams to develop AI products, and engaging with stakeholders to uncover new use cases.