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Senior, specialized data-platform role with metro hiring creates moderate applicant competition.
Data engineering and managerial skills are transferable across industries but require platform-specific expertise.
Explicit 8+ years, 2+ people-management and mandatory data-platform tech stack increases filtering strictness.
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Lead and mentor a US and India based team of 5+ data engineers focused on data ingestion, data quality, and cost management across ServiceTitan's data platform.
Personally own and guide architecture and technical direction of data ingestion pipelines (Kafka, custom ETL Agent), Snowflake, Airflow, and cost optimization strategies.
Manage operational posture including monitoring, alerting, incident response, and collaborate with cross-functional stakeholders on data governance and roadmap delivery.
8+ years in data or software engineering with at least 2 years managing engineering teams of 5 or more.
Experience leading global engineering teams across multiple regions and time zones with async-first communication practices.
Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python.
Strong knowledge of distributed systems architecture, data ingestion, data quality, and cost optimization solutions at scale.
Experienced engineering leader comfortable maintaining hands-on technical involvement especially in architecture and design decisions.
Proven ability to build and scale distributed engineering teams across geographies with strong async communication habits.
Effective in aligning cross-functional stakeholders and influencing technical direction without direct authority.