Principal Software Engineer, Data Platform
ServiceTitan (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 40–60 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and evolve the semantic modeling architecture serving as the single source of truth for business metrics and logic across multiple data products.
- Ensure semantic layer performance, scalability, and cost optimization as data volumes and user demand increase.
- Lead technical design, cross-team collaboration, and mentorship within the Data & Reporting Platform organization, driving architecture decisions and governance standards.
Minimum Requirements
- 10+ years of experience in Software Engineering or Data Engineering with large-scale, fault-tolerant systems.
- Deep expertise in semantic modeling, data engineering, DBT ecosystem knowledge, and experience with data lakehouse/platform technologies like Snowflake or ClickHouse.
- Expert-level SQL and Python skills, including query optimization and materialization strategies at scale.
- B.S., M.S., or PhD in Computer Science or related field.
Ideal Candidate Profile
- Proven track record building platform-level semantic layers that integrate with multiple product teams and support both human analysts and AI consumers.
- Experienced technical leader comfortable driving architecture, technical standards, and cross-team alignment in a fast-paced data platform environment.
- Practices AI-augmented engineering workflows using tools like Claude, Cursor, or Copilot as a core part of daily development to increase team velocity.