The Role You will design and build Lhava's unified data ingestion platform - consolidating our on-chain blockchain data pipeline and centralized exchange infrastructure into a single, coherent system. This includes near-real-time streaming for trading and risk consumers, historical backfill with snapshotting, and a data warehouse foundation that supports both current strategies and new business lines the firm is building toward. This is a systems engineering role first. You will be writing production Rust, making architecture decisions that affect downstream consumers across trading, risk, quant, and accounting, and operating what you build. The work is greenfield in direction but not in context - existing systems are live and serving production trading, so the migration path must be deliberate and incremental.
Responsibilities
● Data ingestion platform. Design and build a unified ingestion system that consolidates on-chain blockchain data and centralized exchange data feeds into a stable, performant pipeline. Define the interface contracts that allow downstream consumers to rely on a single source of truth.
● On-chain integration. Build and maintain integrations across EVM chains (via Alloy) and SVM chains (Solana), covering wallet balances, pool positions, lending protocols, and transaction event streams. Add new chains and protocols through a configurable, extensible architecture.
● CeFi integration. Build and maintain connections to centralized exchange REST and WebSocket APIs for fills, deposits, withdrawals, and market data. Handle rate limiting, reconnection logic, and normalization across venues.
● Historical backfill and snapshotting. Design and implement backfill mechanisms with snapshotting to ensure data completeness while respecting rate limits. Support compliance, reconciliation, and quant research use cases that require full historical coverage.
● Data warehouse. Build toward a scalable data warehouse architecture that supports both near-real-time streaming and poll-based historical access - serving current trading and risk needs as well as new strategy development across prediction markets and other emerging business lines.
● Reliability and observability. Own the operational health of the systems you build. Instrument ingestion pipelines, define SLAs for data freshness and completeness, and ensure downstream consumers have visibility into data quality.
Requirements
● Strong production Rust experience - async, concurrent, and systems-level. You write idiomatic Rust and hold the team to that standard.
● Experience building high-throughput, low-latency data ingestion pipelines from external APIs and event streams.
● Familiarity with EVM or SVM chain data: RPC calls, ABI/IDL decoding, transaction and event parsing.
● Experience with PostgreSQL or ClickHouse at production scale, including schema design, query optimization, and time-series workloads (TimescaleDB or similar).
● Understanding of streaming vs. polling data architectures and when to apply each.
● Ability to design for rate limiting, backpressure, and partial failure across external integrations.
● Track record shipping and operating backend systems in production with direct business consequences - financial services, trading, or similar.
● Strong communication skills. You will work across engineering, quant, and non-technical stakeholders and will need to explain architecture decisions and data reliability tradeoffs clearly. Nice to Have ● Experience with both EVM and SVM ecosystems.
● Familiarity with centralized exchange APIs (Binance, Bybit, Hyperliquid, or similar).
● Experience designing data lake or data warehouse architectures at scale.
● Background in crypto or financial services where data correctness has direct P&L consequences.
● Exposure to DeFi protocols: AMMs, CLMMs, lending markets, or perps.
Why Lhava
● Direct impact on trading. The systems you build are the foundation for every trading decision and risk calculation at the firm. Data quality is not an abstract concern here.
● Flat, founder-led team. Decisions move fast. You will have direct access to founders and firm-wide visibility into your work.
● Hard technical problems. Heterogeneous on-chain and off-chain data, rate-limited external sources, real-time and historical consumers with different consistency requirements - this is genuinely difficult engineering.
● Competitive compensation. $200k-$300k base plus performance-based bonus. Benefits: majority-covered healthcare with fully covered vision and dental, 401(k), free lunch and dinner in-office, all-expenses-paid offsites, and additional perks to support your work and life.
