Principal Software Engineer, Data Platform

Overview

Principal Software Engineer to own the semantic model architecture of ServiceTitan's Data & Reporting Platform, the single source of truth for business metrics and logic that powers Reporting and Agentic Analytics.

What you'll do

• Design and evolve the semantic modeling layer for metrics, dimensions, entities, and business logic across all data products.
• Define standards for how semantic models are authored, versioned, tested, and governed.
• Evaluate and drive the semantic layer technology strategy (e.g., dbt MetricFlow or equivalent).
• Architect how the semantic layer is consumed across product surfaces such as Reporting and Agentic Analytics.
• Partner with adjacent teams to ensure the semantic layer meets each product's requirements.
• Own query performance, materialization strategies, pre-aggregation patterns, and cost optimization.
• Build the semantic layer as a self-service platform with developer-friendly abstractions, documentation, data validation, and governance guardrails.
• Operate as a technical leader across the Data & Reporting Platform organization, driving design sessions, mentoring engineers, and aligning stakeholders.
• Contribute to architecture decisions spanning data foundations through reporting and analytics.
• Champion high-quality code with corresponding test coverage.
• Use AI coding tools (Claude, Cursor, Copilot) as a core part of daily workflow and set team standards for AI-assisted development.

What you'll need

• 10+ years of experience in Software Engineering or Data Engineering roles, including large-scale, high-traffic, fault-tolerant systems.
• Deep experience with semantic modeling, data engineering, data lakehouse, and data product development.
• Track record of building platform-level abstractions consumed by multiple product teams.
• Strong experience with the DBT ecosystem.
• Expert-level SQL and Python skills.
• Experience with query optimization, materialization strategies, and performance tuning at scale.
• Experience with modern data platform technologies: Snowflake, ClickHouse, or similar OLAP/columnar engines.
• Experience designing APIs and interfaces for domain specific data products.
• Demonstrated proficiency with AI coding tools (e.g., Claude, Cursor) as part of regular engineering workflow, with active daily use.
• Experience leading the architecture and design of systems (architecture, design patterns, reliability, and scaling).
• Strong communication and technical writing skills.
• Ability to empathize with users and champion their experience.
• B.S., M.S., or PhD in Computer Science or a related field.

Nice to have

• Experience with semantic layer technologies (e.g., dbt MetricFlow or similar).
• Familiarity with Spark and streaming platforms (Kafka, Kinesis).
• Experience building semantic layers that serve both human analysts and programmatic/AI consumers.
• Experience with data governance frameworks, metric versioning, or data product catalogs.
• Familiarity with LLM-friendly data interfaces; designing schemas and metadata that enable AI agents to discover and query data effectively.
• Experience with data validation and quality frameworks (e.g., Monte Carlo, Great Expectations).

Details

• Location: Bengaluru, Karnataka, India.
• Requires flexibility to overlap with US working hours as needed.