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About the Role
We are looking for a Software Engineer with Data Engineering experience to build robust, scalable, and monitored data pipelines on cloud environments.
Responsibilities
- Design and optimize the ClickHouse data layer, including table engines, partition strategies, materialized views, and storage policies for high performance at billions-of-events scale.
- Own ClickHouse clusters sizing, topology decisions, and capacity planning for real-time ingestion and T+1 batch workloads, balancing cost, latency, and throughput.
- Drive data reliability and deduplication strategies within ClickHouse, leveraging engine-level features and pipeline-level controls.
- Establish and continuously improve monitoring, alerting, and observability for the ClickHouse layer.
- Serve as the internal ClickHouse authority, coaching engineering teams on query optimization, data modeling, and efficient use of ClickHouse constructs.
- Act as the primary liaison with the ClickHouse vendor team for issue triaging, feedback incorporation, and feature evaluation.
- Collaborate with downstream consumers to understand access patterns and refine data storage and serving for diverse client needs.
- Define and enforce schema versioning and governance standards within the ClickHouse environment.
Requirements
- BSc. in Computer Sciences.
- 5+ years of hands-on experience with Java, Rust, or Python.
- 8+ years in data engineering and data pipeline development on high-volume, low-latency production environments.
- Experience working in low-latency, real-time systems processing billions of events a day.
- Deep, hands-on ClickHouse expertise including cluster architecture, table engine selection, replication, sharding, and query optimization.
- Experience engaging with the ClickHouse vendor team or community is a strong plus.
- Proficiency across the broader data engineering stack: Apache Kafka, Spark, Airflow, Kubernetes, Redis, Snowflake, and caching technologies.
- Expert-level SQL and query optimization skills, with a strong emphasis on ClickHouse-specific patterns.
- Experience with monitoring and observability tools (Prometheus, Grafana, or similar).
- Curiosity, ability to work independently, and a track record of proactively identifying and driving solutions.
- Excellent verbal and written communication skills, including the ability to coach and influence engineers across teams in a remote environment.
Skills
- Data Engineering
- Java
- Rust
- Python
- ClickHouse
- Apache Kafka
- Spark
- Airflow
- Kubernetes
- Redis
- Snowflake
- Caching technologies
- SQL
- Query optimization
- Monitoring tools
- Observability tools
- Prometheus
- Grafana
Location
- Wall Street
- Singapore
- Tel Aviv
- London
Work Type
- Remote
Experience Level
- 5+ years of hands-on experience with Java, Rust, or Python
- 8+ years in data engineering and data pipeline development
Education Level
- BSc. in Computer Sciences
About the Company
- Solidus Labs provides cutting-edge trade surveillance technology for financial markets, protecting investors, enhancing transparency, and ensuring regulatory compliance across traditional financial assets, prediction, and crypto markets.
- With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions relied upon by financial institutions and regulators worldwide.
- We safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.
- We pride ourselves on being independent, accountable, and organized, with a self-starter attitude and a willingness to get our hands dirty with day-to-day work that might fall outside our official scope, while keeping an eye on our goals and the big picture.