Ready to be a Titan? Play a pivotal role as our Data Platform expert! As a Staff Data Engineer, you will lead the architectural evolution and engineering execution of our core data platform. This is a high-impact role for a technical leader to design and build major features in a rapidly growing, high-scale environment.
In this role, you will help shape the next generation of our data capabilities—integrating robust Semantic Modeling, optimizing Query Performance, and advancing our Data Sharing capabilities. We build for perfection, use the most modern tools, have an amazing culture, and love to solve complex problems. If you share these values, you will find yourself in the perfect company.
What You’ll Do
- Architect & Implement: Design, implement, and maintain high-performance, fault-tolerant, and scalable systems to support enterprise-grade data and analytical products.
- Semantic & Shared Data Architecture: Contribute to the design and implementation of modern Semantic Layer and Data Share architectures, enabling seamless and governed data access across the organization.
- Data Curation & Modeling: Lead the implementation of clean semantic models using dbt MetricFlow to define standardized business metrics. Drive modern data curation solutions that allow teams to quickly onboard new data sources.
- Performance Engineering: Evaluate, implement, and optimize efficient distributed storage and Query Performance techniques to maximize platform efficiency and minimize latency across massive datasets.
- Pipeline Engineering: Partner with cross-functional teams to extract, transform, and load data from a wide variety of transactional, streaming, and analytical sources.
- Engineering Excellence: Champion exceptional code quality with rigorous automated testing. Lead regular code reviews, drive constructive technical discussions, and facilitate design sessions across multiple engineering teams.
- Observability & Quality: Design automation tools for monitoring, alerting, and measuring data quality, ensuring high platform reliability.
- Operational Ownership: Actively participate in the on-call rotation to monitor system stability, manage incidents, and uphold a culture of operational excellence.
What You’ll Bring
- Education: B.S., M.S., or PhD degree in Computer Science, or a related technical field.
- Experience: 8+ years of hands-on experience in Software Engineering / Data Engineering roles working in high-traffic, highly available production environments.
- Technical Leadership: 3+ years of experience driving the technical architecture, design patterns, reliability, scaling, and ROI of complex data systems.
- Semantic & Performance Expertise: Proven experience with Semantic Modeling concepts (ideally using dbt MetricFlow) and a strong track record of troubleshooting and optimizing complex Query Performance.
- Core Modern Stack: Deep proficiency with cloud data warehouses (e.g., Snowflake), SQL, and advanced data transformation frameworks.
- Programming Depth: Strong experience with Python, Spark, Java, Scala, or similar programming languages.
- Big Data & Streaming: Experience with modern open table formats (e.g., Iceberg, Delta) and streaming/messaging platforms like Kafka or Kinesis.
- Operational Rigor: Experience participating in production on-call rotations, maintaining system health, and adhering to strict CI/CD guidelines.
Location: Based in India, with the ability to collaborate effectively across distributed global time zones.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so 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.
Skills Required
- B.S., M.S., or PhD in Computer Science or related technical field
- 8+ years hands-on Software Engineering / Data Engineering in high-traffic production environments
- 3+ years driving technical architecture, design patterns, reliability, and scaling of complex data systems
- Experience with Semantic Modeling concepts
- Experience with dbt MetricFlow
- Proficiency with cloud data warehouses (Snowflake) and advanced SQL
- Strong programming experience with Python, Apache Spark, Java, or Scala
- Experience with modern open table formats (Apache Iceberg, Delta Lake)
- Experience with streaming/messaging platforms (Apache Kafka, Amazon Kinesis)
- Experience optimizing query performance and distributed storage for large datasets
- Experience building ETL/ELT and pipeline engineering for transactional, streaming, and analytical sources
- Operational experience: participating in production on-call rotations and incident management
- Experience with CI/CD, automated testing, code reviews, and engineering best practices
- Experience designing observability, monitoring, alerting, and data quality automation
- Ability to collaborate effectively across distributed global time zones (based in India)
ServiceTitan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ServiceTitan and has not been reviewed or approved by ServiceTitan.
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Healthcare Strength — Healthcare coverage is positioned as a major strength, with multiple plan features emphasizing broad medical, dental, and vision support plus telehealth-style access. Additional elements like HSA/FSA options and employer contributions reinforce perceived value beyond base pay.
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Parental & Family Support — Parental leave and family-forming support appear notably robust, with repeated references to paid leave and meaningful adoption/fertility assistance. The package is described as supportive across different family paths, though specifics can vary by plan and location.
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Fair & Transparent Compensation — Compensation is portrayed as generally competitive in several functions, particularly in engineering and experienced roles, contributing to an overall sense of being paid fairly. Equity and bonus components are also described as meaningful parts of total rewards for many roles.
ServiceTitan Insights
What We Do
ServiceTitan is the world’s leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses and aim to democratize the power of technology. The trades industry approaches $800B in North America alone and was significantly underserved by traditional software industry leaders prior to ServiceTitan’s entrance to the market. Today, ServiceTitan powers the businesses of more than 5,000 customers, is backed by the world’s leading venture capitalists, and continues to target triple-digit growth annually. ServiceTitan unlocks for small business, the tools and support that big business has enjoyed for decades; helping everyday entrepreneurs run and grow their businesses so they can build better lives for themselves and their families.
Why Work With Us
Not only do we change the lives of our customers, but we strive to create an environment full of opportunities that will change the lives of our employees. We are committed to giving extraordinary talent, extraordinary opportunity, and we prioritize investing in Titans, through a suite of benefits, learning and growth opportunities, and more.
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