Staff Engineer, Data Platform

Location: Chicago, New York City, or London

Annual base salary: $200,000–$275,000, plus an annual discretionary bonus.

Company

hirify.global is a diversified trading firm using technology and proprietary capital across global markets and traditional and non-traditional strategies, including cryptoassets.

What you will do

• Shape and uphold the long-term vision, architecture, and evolution of hirify.global’s Data Platform.
• Translate business and data strategy into engineering products, managed services, technical roadmaps, and measurable outcomes.
• Design, build, and operate managed services for storage, distributed query execution, batch and streaming processing, and workload orchestration.
• Lead architecture reviews, technology decisions, and cross-team delivery while balancing immediate business needs with long-term platform goals.
• Own data governance capabilities for metadata management, discovery, lineage, schema evolution, data quality, access controls, and usage tracking.
• Troubleshoot distributed systems, improve production operations through root-cause analysis and automation, and mentor engineers through design and code reviews.

Requirements

• Extensive experience designing, building, and operating large-scale, data-intensive distributed systems, including technical leadership across multiple teams.
• Experience coordinating with engineering leadership, accelerating organization-wide delivery, and translating data or business strategy into engineering products and technical roadmaps.
• Experience building and offering managed platform services, including provisioning, upgrades, reliability, production support, and incorporating user feedback into product and roadmap decisions.
• Experience scaling metadata management systems such as data catalogs or lineage systems across multiple storage and compute technologies.
• Expertise in Java and/or Python, with strong familiarity with SQL and Linux and a record of delivering maintainable production software.
• Deep understanding of distributed-systems trade-offs, including consistency, fault tolerance, concurrency, partitioning, and recovery from partial failures.
• Production experience building batch and stream processing systems at scale, including state management, replay, backpressure, and delivery guarantees.
• Experience deploying and guiding users on Flink, Spark, ClickHouse, multiple storage technologies, Kafka, and open table formats such as Iceberg or Delta Lake.
• Extensive experience with data modeling, schema governance and evolution, and serialization formats or systems such as Arrow, Parquet, Protobuf, or Avro; familiarity with Kubernetes, workflow orchestration, automated deployment, and production monitoring.
• Excellent communication, technical judgment, problem-solving, prioritization, stakeholder-alignment, and mentoring skills in a globally distributed organization and fast-paced trading environment.

Nice to have

• 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.

Culture & Benefits

• Work in an environment emphasizing autonomy, innovation, integrity, curiosity, open-mindedness, and challenging consensus.
• Employee benefits include medical, pharmacy, dental, and vision insurance; 401(k) with discretionary employer match; disability and life insurance; HSA; and FSA.
• The position is eligible for an annual discretionary bonus.
• Work with teams supporting markets and offices across the United States, Canada, Europe, and Asia.