Principal Data Platform Engineer

ServiceTitan is a rapidly growing startup seeking a Principal Data Platform Engineer to enhance their data products and lead major feature development. The role involves designing and implementing high-performance data solutions, developing tools for data extraction and transformation, and ensuring high-quality code through regular reviews and automation tools.

Responsibilities:

• Assess and recommend architecture frameworks, design and implement high-performance solutions to support data and analytical products
• Architect high availability, scalable and fault tolerant solutions
• Lead implementation of modern data curation solutions to allow developers to quickly onboard new data sources and enhance existing data integrations
• Partner with teams and systems to develop tools to extract, transform, and load data from a wide variety of sources and destinations
• Evaluate and implement efficient distributed storage and query techniques
• Champion high-quality code with corresponding test coverage
• Participate in regular code reviews and engage in constructive discussions
• Participate in Design sessions across different teams
• Design automation tools for monitoring and measuring data quality, with associated user interfaces

Requirements:

• 10+ years of experience in Software Engineering / Data Engineering roles working in high traffic, fault tolerant, and highly available environments
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of systems
• Experience building real-time data pipelines
• Experience with Spark, Python, DBT, C#, SQL
• Experience with Big Data Technologies (Snowflake, Athena, Pinot, Clickhouse, Flink etc.)
• Experience with Streaming platforms like Kafka or Kinesis
• Experience with latest Generative AI technologies for data engineering development (Cursor, Copilot etc)
• B.S., M.S. or PhD degree in Computer Science or a related field