About the Company
Confidential Data Platform is a technology-driven organization focused on building scalable, production-grade data platforms. The company prioritizes reliability, correctness, and observability in data systems, enabling teams to make informed decisions and power high-stakes analytics across the business.
The company fosters a culture of ownership, collaboration, and continuous learning, offering engineers the autonomy to tackle real-world problems at scale while working remotely.
About the Role
The Data Platform Engineer will architect and operate high-load, production-grade data pipelines with an emphasis on correctness, latency, and reliability. The role involves end-to-end ownership of data availability, freshness, and quality, collaborating closely with backend engineers, analysts, and product teams.
This is a fully hands-on individual contributor role with platform-level responsibilities.
Responsibilities
- Architect and run high-load, production-grade data pipelines where correctness and latency matter
- Design systems resilient to schema changes, reprocessing, and partial failures
- Own data availability, freshness, and trust beyond pipeline success
- Make decisions balancing accuracy, cost, speed, and consistency
- Build guardrails to prevent downstream system failures for analysts, product, and operations teams
- Improve observability with monitoring, alerts, data quality checks, and SLAs
- Debug incidents, own root cause analysis, and prevent recurring failures
- Partner closely with backend engineers, data analysts, and product teams for shared ownership
Requirements
- 5+ years of experience in data or backend engineering on production systems
- Strong experience with columnar analytical databases (ClickHouse, Snowflake, BigQuery, or similar)
- Experience with event-driven or streaming systems (Kafka, Pub/Sub, CDC, etc.)
- Proficient in SQL and at least one general-purpose programming language (Python, Java, Scala)
- Strong problem-solving skills and the ability to think in failure modes
- Clear communication and ability to explain technical decisions and trade-offs
- Bonus: Experience rebuilding or fixing a data system that failed in production
Benefits
- Fully remote work
- Unlimited vacation and paid sick leave
- Quarterly performance bonuses
- Medical insurance for you and your partner
- Learning budget for courses, conferences, and certifications
- High trust, high autonomy, and zero bureaucracy
- Opportunity to work on real engineering challenges in data platforms