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Senior, specialized data-platform skillset in a metro location creates moderate applicant density.
Data platform engineering skills are transferable across industries but require specific tooling and platform experience.
Explicit 8+ years plus 2+ years managing and mandatory tech stack make shortlisting stringent.
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Lead and manage a team of 5+ data engineers across multiple regions focusing on data ingestion, quality, and cost management for the data platform.
Personally design and review technical architecture and solutions involving Kafka, Snowflake, Airflow, ensuring platform reliability and cost efficiency.
Own platform operations including monitoring, incident response, and collaborate with stakeholders on roadmap and data governance best practices.
8+ years in data or software engineering with at least 2 years managing engineering teams of 5 or more.
Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Airflow, Python, and distributed systems architecture.
Proven experience leading global engineering teams across multiple time zones and asynchronous work environments.
Work Experience Required: 8+ years data/software engineering; Management experience: 2+ years.
Experienced leader who remains technically hands-on, driving architectural decisions personally rather than delegating.
Comfortable managing and scaling distributed teams across US and India with strong asynchronous communication skills.
Skilled in balancing operational excellence, cost optimization, and strategic collaboration with cross-functional stakeholders.