A high-growth tech company based in San Francisco is seeking a Principal Data Platform Engineer to lead the development of a modern, scalable data platform. In this role, you will tackle large data challenges and enable AI/ML capabilities, working with cutting-edge technologies like Kafka and Snowflake. The ideal candidate has over 8 years of data engineering experience and a history of leading platform architecture initiatives. Competitive salary and remote options are offered.
Qualifications
8+ years of experience in data engineering or platform architecture.
5+ years at the Principal Engineer level or equivalent.
Deep expertise with Kafka (and its ecosystem), streaming data systems.
Responsibilities
Design and build a next-gen data platform to power product and internal use cases.
Architect for batch + streaming, scalability, fault tolerance, and low latency.
Lead data modeling, warehousing, governance, and ingestion best practices.
Skills
Data engineering
Platform architecture
Kafka expertise
Cloud-native architecture
Collaboration skills
Leadership
Tools
Kafka
ClickHouse
Iceberg
Snowflake
Job description
A high-growth tech company based in San Francisco is seeking a Principal Data Platform Engineer to lead the development of a modern, scalable data platform. In this role, you will tackle large data challenges and enable AI/ML capabilities, working with cutting-edge technologies like Kafka and Snowflake. The ideal candidate has over 8 years of data engineering experience and a history of leading platform architecture initiatives. Competitive salary and remote options are offered.