Senior Staff Software Engineer, Data Platform
ServiceTitan (company site, opens in a new tab)10+ yrsBengaluruRemoteDirect career pageEst. 45–70 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design and evolution of the semantic modeling layer that acts as the single source of truth for business metrics and logic across multiple data products.
- Architect and ensure performance, scalability, and cost optimization of the semantic layer, including query performance and materialization strategies.
- Lead technical design, mentorship, and cross-team collaboration to enable semantic layer consumption across distinct product surfaces such as Reporting and Agentic Analytics.
Minimum Requirements
- 10+ years of experience in Software Engineering or Data Engineering with large-scale, high-traffic, fault-tolerant systems.
- Deep knowledge in semantic modeling, data engineering, data lakehouse concepts, with strong expertise in DBT ecosystem and semantic layer technologies (e.g., dbt MetricFlow preferred).
- Expert-level SQL and Python skills including query optimization and performance tuning at scale.
- Degree in Computer Science or related field (B.S., M.S., or PhD). Flexibility to overlap with US working hours as needed.
Ideal Candidate Profile
- Experienced in building semantic layers consumed by both human analysts and AI/programmatic consumers, with platform-level abstraction design.
- Strong background in data platform technologies such as Snowflake, ClickHouse, Spark, and streaming systems like Kafka or Kinesis.
- Proficient in leading architecture and design across data platforms with an emphasis on governance, metric versioning, AI-augmented engineering workflows, and enabling self-service extensibility.