Engineering Manager, Data Foundations

🕒 July 24

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ServiceTitan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

💰 $200M Series G on 2021-06

Consulting • Logistics • Marketing

ServiceTitan is a comprehensive software platform designed for the trades industry, providing solutions to enhance productivity and profitability for businesses. It offers a variety of features including dispatching, scheduling, marketing, reporting, and customer experience tools, tailored for trades like plumbing, HVAC, electrical services, and more. ServiceTitan seeks to empower businesses by optimizing operations, improving cash flow, and delivering superior customer experiences through an all-in-one platform. The software includes real-time data analytics, financing options, and mobile capabilities to support the operational needs of contractors and increase their revenue streams. By consolidating multiple business functions into a single platform, ServiceTitan aims to help contractors grow profitably and efficiently.

📋 Description

• Lead and Mentor a team of 5+ data engineers across multiple regions • Stay hands-on — review architecture and code, prototype solutions • Drive architecture for data ingestion, Snowflake, and Airflow; own strategy for data quality tooling and monitoring • Own operational posture of the platform — monitoring, alerting, incident response, on-call • Champion data governance best practices and partner with stakeholders to deliver the roadmap

🎯 Requirements

• 8+ years in data or software engineering • 2+ years managing engineering teams of 5 or more • Proven experience building and leading engineering teams across multiple regions and time zones • Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python • A strong grasp of distributed systems trade-offs • Experience architecting data ingestion, quality, and cost-optimization solutions at scale • Direct, empathetic, and outcome-focused communication skills

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities