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Senior role but popular engineering-manager title and broad data-platform skills increase applicant density.
Requires deep data-platform experience (Kafka, Snowflake, Airflow), limiting cross-industry transferability.
Explicit 8+ years, managerial requirement, and specific data-platform tech stack make filters strict.
Lead and grow a team of 5+ data engineers across US and India, setting clear expectations and fostering ownership.
Provide hands-on technical leadership by reviewing architecture and code, prototyping solutions, and guiding technical direction personally.
Drive architecture and strategy for data ingestion (Kafka, ETL Agent), Snowflake, Airflow; oversee data quality tooling, cost optimization, and platform operations including monitoring and incident response.
8+ years in data or software engineering with 2+ years managing engineering teams of at least 5 members.
Proven experience building and leading distributed engineering teams across multiple regions and time zones with async-first working style.
Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python; experience architecting at scale in data ingestion, quality, and cost optimization.
Work Experience Required: 8+ years in relevant engineering roles with minimum 2 years in management.
Experienced leader comfortable directing technical teams asynchronously across different time zones.
Strong technical depth in distributed systems and cloud data platforms, capable of personally leading architecture and hands-on problem-solving.
Ability to influence cross-functional stakeholders and align on technical trade-offs without direct authority.