Staff Engineer, Data Platform

DRW , Chicago, New York City, London +1

The role

As a Staff Engineer focused on the Data Platform, you will bring experience scaling data platforms to shape and uphold DRW’s long-term data platform vision, translating data strategy into engineering products and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will work across tooling, producer, and consumer teams to connect business priorities with technical direction and hands-on delivery. This is an individual contributor role combining strategic thinking, architectural leadership, software development, and mentorship, with responsibility for technical initiatives that span teams.

All jobs

Staff Engineer, Data Platform

DRW , Chicago, New York City, London +1

Posted pay

$200K–$275K

a year

Compared with similar jobs

This base pay is below the median for staff infrastructure, platform and SRE jobs in New York.

Median: $254K a year
Other jobs in the group: 90

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Chicago, New York City, London +1
Work type: Not given
Level: Staff
Skills in the job text: Python
SQL
Kubernetes
Java
Spark
ClickHouse
Flink
Kafka
Linux
Posted: 8 days ago
Last check: 7 h ago
Job type: Infra, platform & SRE, Data engineering

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DRW

Open tech jobs: 109
With posted pay: 52%
Median posted base: $175K–$225K

About DRW : funding, hiring and pay

DRW

About DRW : funding, hiring and pay

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The role

What you need

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.

Staff Engineer, Data Platform

The role

Staff Engineer, Data Platform

The role

What you will do

What you need

Nice to have

About DRW

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