About the role

As part of the Data Platform team at ThoughtSpot, you'll build and evolve the core platform

powering secure, reliable, and high-performance connectivity between ThoughtSpot and

modern cloud data warehouses. The team owns query execution, connection management,

authentication, JDBC integrations, platform observability, semantic services, and AI-powered

platform capabilities.

What you'll do

• Design and develop scalable backend platform services using Java 17/21+.
• Own query execution, connection lifecycle, authentication, JDBC driver management, and CDW metrics.
• Build integrations with Snowflake, Databricks, BigQuery, Redshift, Synapse and other cloud warehouses.
• Improve reliability, scalability, performance, and observability.
• Develop semantic metadata services and AI-assisted platform capabilities.
• Leverage LLMs, Agentic AI frameworks, and MCP integrations to enhance platform intelligence.
• Collaborate with Product, AI, Security, Infrastructure, and Customer Success teams.
• Drive engineering excellence through testing, automation, and operational ownership.

What you bring

• 4+ years of software engineering experience.
• Strong Java (17/21+), distributed systems, and backend architecture.
• Deep understanding of SQL, query execution, JDBC, connection pooling, and database internals.
• Experience with OAuth, SAML, OIDC, JWT, Kerberos, or similar authentication technologies.
• Hands-on AWS/cloud-native development experience.
• Knowledge of observability (metrics, logging, tracing).
• Exposure to semantic layers, metadata management, LLMs, Agentic AI (LangChain/LangGraph/LlamaIndex), RAG, and vector databases.
• Excellent ownership, debugging, and communication skills.

Preferred Qualifications

• Experience with Trino, Spark SQL, DuckDB, Calcite, or similar query engines.
• Kubernetes, Docker, CI/CD, and platform engineering.
• Passion for building developer platforms and AI-native analytics infrastructure.