Technical Skills:
- Build streaming data pipelines for blockchain data (onchain transactions, staking rewards, validator info) and market data (prices, trades, order books)
- Design and implement data contracts and validation gates that enforce quality and schema compliance at ingestion points
Complexity and Impact of Work:
- Collaborate on designing the architecture for standardized ingestion patterns that enable rapid onboarding of new blockchains and market data feeds
- Establish redundancy and failover patterns to meet Tier 1 availability and freshness SLOs for critical data products
Organizational Knowledge:
- Collaborate with Protocols, Trading, and Custody teams to understand their data needs and design certified data products with clear SLAs
- Partner with Data Platform team on orchestration, storage patterns (BigLake), and metadata management (Atlan)
Communication and Influence:
- Advocate for contract-governed data supply chains and help establish engineering standards for producer patterns across the org
- Contribute to architectural decisions and help mature the team’s practices around observability, testing, and operational excellence
You may be a fit for this role if you:
- 5-7+ years building streaming or high-throughput data systems: You have experience designing and operating production data pipelines that handle large volumes with low latency and high reliability
- Solid backend engineering skills: You’re proficient in Go or Python and have built services that interact with streaming infrastructure (Kafka, pub/sub, websockets, REST APIs)
- Blockchain data familiarity: You understand blockchain concepts and are comfortable working with on-chain data (transactions, events, staking, validators) across multiple chains with different data models
- Data engineering adjacent skills: You’re comfortable with data transformation patterns, schema evolution, and working with cloud data warehouses (BigQuery) and storage systems (GCS, BigLake)
- Operational mindset: You have experience deploying and operating services on cloud platforms (preferably GCP), with strong practices around monitoring, alerting, and incident response
Although not a requirement, bonus points if:
- Staking data expertise: You’ve worked with staking rewards, validator data, or proof-of-stake blockchain infrastructure
- Market data systems: You’ve built systems that ingest and process market data (prices, trades, order books) from exchanges or data vendors
- Infrastructure as code: You have experience with Terraform, Kubernetes, and modern DevOps practices
- You’re the kind of person who gets excited about data freshness SLOs and celebrates when p95 latency drops by 50ms
Originally posted on Himalayas
