DRW - Staff Engineer, Data Platform

• Extensive experience designing, building, and operating large-scale, data-intensive distributed systems, including technical leadership of initiatives spanning multiple teams. • Experience coordinating with engineering leadership to accelerate team- and organization-wide delivery within existing processes and practices. • A track record of translating data or business strategy into engineering products and technical roadmaps, with the judgment to align near-term delivery with a long-term platform vision. • A track record of building and offering managed platform services to other teams, owning provisioning, upgrades, reliability, and ongoing support throughout the service lifecycle, working directly with users to incorporate their requirements and feedback into product and roadmap decisions. • Experience scaling metadata management systems, such as data catalogs or lineage tracking systems, that span multiple storage and compute technologies. • Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL and Linux environments. • Deep understanding of distributed systems trade-offs, including consistency, fault tolerance, concurrency, partitioning, and recovery from partial failures. • Production experience building both batch and stream processing systems at scale, demonstrating practical knowledge of state management, replay, backpressure, and delivery guarantees. • Experience deploying data processing and query technologies such as Flink, Spark, and ClickHouse, and the ability to guide platform users on the performance and operational trade-offs among them. • Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. In-depth knowledge of the internals of open table formats such as Iceberg or Delta Lake. • Extensive experience with data modeling, schema governance and evolution, and formats and serialization systems such as Arrow, Parquet, Protobuf, or Avro. • Familiarity with building and operating cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. • Excellent written and verbal communication skills, with the ability to communicate a technical vision, explain trade-offs, align stakeholders, and lead through influence across a globally distributed organization. • Strong technical judgment and problem-solving skills, with the ability to prioritize competing needs, deliver incrementally in a fast-paced trading environment, and develop other engineers. • Experience scaling managed data services across teams with different workloads, service expectations, and operational constraints. • Hands-on knowledge of data governance in regulated environments. • Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. • The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. • For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. • California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. • [#LI-Insert Recruiter Initials Here1]