Engineering Manager, Data Platform

Sorry, this job was removed at 02:26 a.m. (UTC) on Friday, Jul 24, 2026
Hiring Remotely in Glendale, CA, USA
Remote or Hybrid
185K-248K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
The operating system for the trades.
The Role
The Engineering Manager will lead a team of data engineers, manage architectural decisions, and ensure platform reliability and scalability while collaborating on the data infrastructure roadmap.
Summary Generated by Built In

Ready to be a Titan?

We're looking for an experienced Engineering Manager to join our Data & Reporting Platform team. In this role, you'll own the technical direction and day-to-day execution of a team building the data infrastructure that powers the enterprise. You'll balance hands-on architectural guidance with people leadership — helping engineers grow while ensuring the platform is reliable, scalable, and aligned to business needs.

What you'll do:

  • Lead and Mentor: Manage and grow a team of 5+ data engineers. Set clear expectations, provide regular feedback, and invest in career development. Build a team culture rooted in ownership, craftsmanship, and psychological safety.

  • Architectural Leadership: Drive architectural decisions across the platform, with particular depth in Data Sharing and Semantic Layer design. Ensure systems are built for high availability, scalability, and security.

  • Technical Excellence: Guide the team through complex technical challenges, including Semantic Modeling, data mesh patterns, and platform reliability. Hold a high bar for code quality, testing, and observability.

  • Performance Optimization: Lead efforts to improve query performance and platform efficiency so that data consumers across the organization can access what they need quickly and reliably.

  • Strategic Execution: Collaborate with product managers and architects to define and deliver the data platform roadmap. Translate business requirements into technical priorities and communicate trade-offs clearly.

  • Operational Health: Own the operational posture of the platform — monitoring, alerting, incident response, and on-call rotation management. Establish and report on team-level operational metrics.

  • Governance & Process: Define engineering best practices and champion shift-left data governance, including data quality, lineage, and access control.

What you'll bring:

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

  • Architectural Depth: Proven experience designing complex data systems, with specific expertise in Semantic Layering and Data Sharing at enterprise scale.

  • Modern Tooling: Deep, hands-on experience with dbt and semantic models (eg MetricFlow) — including designing and scaling semantic models in production. Strong proficiency with Snowflake and SQL. Experience with Spark, Python, and Snowpark is a plus.

  • Technical Breadth: Hands-on experience with technologies such as Cursor, Claude CLI/Code, Kibana, and Airflow.

  • Operational Rigor: Experience owning on-call processes, managing incidents, and defining operational metrics that drive team accountability.

  • Engineering Standards: Solid command of CI/CD practices (e.g., GitHub Actions) and data observability tooling such as DataDog or Monte Carlo.

  • Communication: Strong written and verbal communication skills. Able to align cross-functional stakeholders, articulate technical trade-offs, and influence architectural direction without direct authority.

To effectively support our international teams, this position requires flexibility to overlap with US working hours as needed.

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
  • Expertise in Semantic Layering and Data Sharing
  • Deep, hands-on experience with dbt
  • Proficiency with Snowflake and SQL
  • Experience with Spark, Python, and Snowpark
  • Experience owning on-call processes
  • Strong command of CI/CD practices
  • Solid understanding of data observability tooling

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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