YOUR ROLE
About the role
We are looking for a Staff Data Platform Engineer to join our data and engineering team at BIT Capital. In this role, you will work on the core data platform that powers our proprietary equity research and AI-driven analytics, operating at petabyte scale and under real-world production constraints.
You will be deeply involved in designing, building, and operating data infrastructure and pipelines, while helping evolve the platform towards higher reliability, quality, and security. The role combines hands-on engineering with technical leadership and offers significant scope to grow into broader responsibility over time.
What you will do
Design, build, and operate large-scale data pipelines and platform components handling complex, high-volume datasets.
Contribute to the evolution of our data platform architecture (lakehouse/warehouse, orchestration, processing frameworks) with a strong focus on robustness and scalability.
Improve data quality and reliability through testing, validation, and safe rollout patterns for pipelines and backfills.
Strengthen operational excellence by improving observability, monitoring, alerting, and cost awareness across the data platform.
Contribute to secure and compliant data handling practices, including access controls, secrets management, and auditing.
Lead complex technical initiatives end-to-end while remaining hands-on in implementation.
Raise engineering standards through code reviews, design discussions, and mentoring.
Collaborate closely with researchers, data scientists, and other stakeholders to translate analytical and business needs into scalable engineering solutions.
Support AI- and LLM-enabled workflows where they rely on the data platform (e.g. datasets, retrieval pipelines, evaluation and reliability).