Principal Software Engineer, Data Platform

Servicetitan; Bengaluru; Hybrid; INR 17,191,976 - 26,743,074; Full time

Job summary

ServiceTitan is seeking a Principal Engineer to own the semantic model architecture at the core of our Data & Reporting Platform. You will define data models, governance, and consumption across multiple product surfaces, combining data engineering, platform engineering, and product thinking.

You’ll lead architecture decisions, mentor engineers, and shape how data is modeled and consumed at scale. Expect collaboration with US teams and a focus on AI-assisted development in daily workflows.

Qualifications

• 10+ years in Software or Data Engineering roles, with large-scale, high-traffic systems.
• Deep experience in semantic modeling and data architecture.
• Experience building platform-level abstractions used by multiple product teams.

Responsibilities

• Design and evolve the semantic modeling layer as the single source of truth for metrics and business logic across data products.
• Architect consumption of semantic layer across product surfaces like Reporting and Analytics.
• Own query performance, materialization strategies, and cost optimization at scale.
• Build the semantic layer as a self-service platform with clear docs and governance guardrails.
• Lead architecture decisions spanning data foundations to reporting and analytics; mentor engineers.

Skills

Semantic modeling

Data engineering

Data lakehouse

Data product development

Platform abstractions

DBT ecosystem

SQL

Python

API design

AI coding tools

Architecture leadership

Reliability & scaling

Communication/writing

Cross-team collaboration

Education

BS, MS, or PhD in Computer Science or related field

Tools

dbt

dbt MetricFlow

Snowflake

ClickHouse

Spark

Kafka

Kinesis

APIs

Job description

Ready to be a Titan? The Data & Reporting Platform team powers ServiceTitan’s growth by delivering high‑quality, low‑latency, and reliable data and BI products that enable trust, acceleration, and data‑driven decision‑making for our customers and across the company. We are looking for a Principal Engineer to own the semantic model architecture at the heart of our data platform.

This role sits at the intersection of data modeling, platform engineering, and product thinking. You’ll define how data is modeled, governed, and consumed at scale across multiple product surfaces. It is a T‑shaped role with deep expertise in semantic modeling and data architecture, and breadth to operate across the full data platform stack at the principal level.

What You’ll Do

• Semantic Model Architecture – design and evolve the semantic modeling layer that serves as the single source of truth for metrics, dimensions, entities, and business logic across all data products; define standards for models, versioning, testing, and governance; evaluate and drive technology strategy (e.g., dbt MetricFlow).
• Data Product Enablement – architect how the semantic layer is consumed across distinct product surfaces such as Reporting and Agentic Analytics; partner with adjacent teams to ensure the semantic layer meets each product’s unique requirements.
• Performance & Scale – own query performance, materialization strategies, pre‑aggregation patterns, and cost optimization; ensure the semantic layer is highly performant and scalable as data volumes and consumer demand grow.
• Platform & Governance – build the semantic layer as a true platform experience: self‑service metric onboarding, developer‑friendly abstractions, clear documentation, data validation, and governance guardrails; make it easy for other teams to extend the layer without compromising consistency.
• Technical Leadership – operate as a technical leader across the Data & Reporting Platform organization; participate in and drive design sessions; mentor engineers; manage stakeholder and leadership alignment; contribute to architecture decisions that span from data foundations through reporting and analytics; champion high‑quality code with test coverage.
• AI‑Augmented Engineering – use AI coding tools (Claude, Cursor, Copilot) as a core part of daily workflow; drive adoption patterns, build team‑specific contexts and workflows, and set the standard for AI‑assisted development.

What You’ll Bring

• 10+ years in Software or Data Engineering roles, including large‑scale, high‑traffic, fault‑tolerant systems.
• Deep experience in 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; experience with semantic layer technologies such as dbt MetricFlow preferred.
• Expert‑level SQL and Python; experience with query optimization, materialization strategies, and performance tuning at scale.
• Experience with modern data platform technologies: Snowflake, ClickHouse, or similar OLAP/columnar engines; familiarity with Spark, Kafka, and Kinesis.
• Experience designing APIs and interfaces for domain‑specific data products.
• Demonstrated proficiency with AI coding tools (Claude, Cursor, Copilot) as part of regular engineering workflow; active daily use.
• Experience leading architecture and design of systems, including reliability, scaling, and design patterns.
• Strong communication and technical writing skills; ability to empathize with users and champion their experience.
• B.S., M.S., or Ph.D. in Computer Science or a related field.
• Highly preferred: 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.
• Experience with data validation and quality frameworks (Monte Carlo, Great Expectations).
• Ability to overlap with U.S. working hours as needed to support international teams.

At ServiceTitan, we celebrate individuality and uniqueness. We believe the convergence of fresh perspectives and experiences from all walks of life makes our product and culture great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws.