VP of Data Platform & Architecture
Tasks
- Architect and scale distributed data platforms
- Build self service developer capabilities
- Collaborate with cross-functional teams
- Develop data vision and operating model
- Improve platform performance and cost efficiency
- Lead data organization
- Measure system latency and throughput improvements
- Mentor international engineering teams
- Process batch and real-time data
- Reduce developer time to delivery
- Transition platform to open source technologies
Perks/Benefits
- 401k match
- Casual dress code
- Company paid life insurance
- Dental insurance
- Health insurance
- Onsite fitness center
- Paid Holidays
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Batch Processing | ClickHouse | Data Engineering | Database Design | Debezium | Developer Productivity | Developer experience | Distributed Systems | Platform abstractions | Query Optimization | Real Time | Real-time Processing | Streaming Data | System Architecture | Time processing | Trino
Education
N/A
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