Engineering Manager, Data Foundations

Posted 11 Hours Ago
Be an Early Applicant
Hiring Remotely in India
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
The operating system for the trades.
The Role
Lead and grow a distributed Data Foundations team building data ingestion, quality, and cost-management for the data platform. Provide hands-on technical leadership and architecture (Kafka, Snowflake, Airflow), own monitoring/ops and on-call, drive data governance, collaborate with product and business stakeholders, and optimize cost and reliability.
Summary Generated by Built In
Ready to be a Titan?

We're looking for an experienced Engineering Manager to lead our Data Foundations team — the team responsible for data ingestion, data quality, and cost management across ServiceTitan's data platform. You'll stay hands-on and technically engaged, guiding architecture personally rather than delegating it, while building and leading a team of strong engineers across the US and India.
 

What You'll Do
  • Lead and Mentor: Manage and grow a team of 5+ data engineers spanning multiple regions and time zones. Set clear expectations, provide regular feedback, and build a team culture rooted in ownership and psychological safety.

  • Hands-On Technical Leadership: Stay hands-on — review architecture and code, prototype solutions to hard problems, and personally guide the team's technical direction rather than delegating all design work.

  • Architecture, Data Quality & Cost: Drive architecture for data ingestion (Kafka, custom ETL Agent), Snowflake, and Airflow; own the strategy for data quality tooling and monitoring; and lead cost optimization efforts, balancing efficiency with reliability and long-term platform health.

  • Operations & Stakeholder Collaboration: Own the operational posture of the platform — monitoring, alerting, incident response, and on-call — while championing data governance best practices and partnering with product, architecture, and business stakeholders to deliver the roadmap.
     

What You'll Bring
  • Experience: 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more.

  • Building & Leading Global Teams: Proven experience building and leading engineering teams across multiple regions and time zones, with strong async-first habits and comfort setting technical direction without relying on overlapping hours.

  • Technical Depth: Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python; a strong grasp of distributed systems trade-offs; and experience architecting data ingestion, quality, and cost-optimization solutions at scale.

  • Communication & Collaboration: Direct, empathetic, and outcome-focused. Able to align cross-functional stakeholders, articulate technical trade-offs, and influence architectural direction without direct authority.
     

Nice to Have
  • Experience with CDC patterns and tooling (Debezium or similar).

  • Familiarity with dbt or modern transformation frameworks.

  • Prior experience building or standing up a new team or engineering hub in a new region.

  • Experience with AI-assisted engineering tooling (Cursor, Copilot, Claude Code, etc.) or building AI-powered agents for operational use cases.

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

  • 8+ years in data or software engineering
  • 2+ years managing engineering teams of 5 or more
  • Proven experience building and leading global/multi-region engineering teams with async-first practices
  • Hands-on experience with Cloud Providers
  • Hands-on experience with Kubernetes
  • Hands-on experience with Kafka
  • Hands-on experience with Snowflake
  • Hands-on experience with Iceberg/Delta/Hudi
  • Hands-on experience with Airflow
  • Proficiency in Python
  • Strong grasp of distributed systems trade-offs
  • Experience architecting data ingestion, data quality, and cost-optimization solutions at scale
  • Strong communication, stakeholder alignment, and collaboration skills
  • Experience with CDC patterns and tooling (e.g., Debezium)
  • Familiarity with dbt or modern transformation frameworks
  • Prior experience building or standing up a new team or engineering hub in a new region
  • Experience with AI-assisted engineering tooling or building AI-powered operational agents

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Glendale, CA
2,760 Employees
Year Founded: 2012

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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