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HomeCompaniesOptiverLead Data Architect

Lead Data Architect

Optiver · Chicago, Illinois, United States · Active · $200,000–$200,000 / year · Greenhouse

Job facts

FieldValue
CompanyOptiver
TitleLead Data Architect
Normalized title-
Department / teamSoftware
LocationChicago, IL, United States
Work model-
Employment type-
Salary$200,000–$200,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-12-15 / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Optiver.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Chicago.Open
Department jobsActive postings in Software.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOptiver
Source871c174c-9a8d-46cd-a00a-519db0de0ce4
ATS providerGreenhouse

Description

Optiver Chicago is seeking a seasoned Data Architect to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems. As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle. This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment. What you’ll do: Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways Define, document, and enforce data engineering best practices Mentor junior engineers and drive a culture of continuous learning and DataOps excellence What You’ll Get Immediate impact on the data systems powering world-class research and real-time trading decisions. A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture. High autonomy to own complex workflows and template “how-to” solutions across teams. Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha. Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney. In addition, you’ll receive: The opportunity to work alongside best-in-class professionals from over 40 different countries 401(k) match up to 50% Comprehensive health, mental, dental, vision, disability, and life coverage 25 paid vacation days alongside market holidays Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more Who you are: 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale Advanced Python skills and deep experience with Apache Spark and the Databricks platform Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow Proven ability to lead projects independently and deliver outcomes in fast-paced environments Clear communicator who collaborates well with researchers, traders, and engineers alike Enthusiastic mentor and strong advocate for engineering rigor and platform scalability Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above. Base Salary Range $200,000 — $200,000 USD

Full job record

Job ID5802af66af3d005c4a844b744494e6d5862a3939
Org IDf769ee6c-ad00-44c4-a830-9555685282a2
Source ID871c174c-9a8d-46cd-a00a-519db0de0ce4
Board ID871c174c-9a8d-46cd-a00a-519db0de0ce4
Providergreenhouse
Provider Job Key8339275002
TitleLead Data Architect
Normalized Title
Statusactive
Activeyes
Location TextChicago, Illinois, United States
DepartmentSoftware
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionIL
CityChicago
Salary RawSalary Range $200,000 — $200,000 USD
Salary Min200,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://www.optiver.com/join-us/jobs/8339275002/?gh_jid=8339275002
Apply URLhttps://www.optiver.com/join-us/jobs/8339275002/?gh_jid=8339275002
First Seen At2026-05-29 23:00:52Z
Last Seen At2026-06-06 07:33:59Z
Last Checked At2026-06-06 07:33:59Z
Last Changed At2026-06-04 11:15:42Z
Inactive At
Source Posted At2025-12-15 14:53:32Z
Source Updated At2026-06-03 19:41:44Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=optiverus/date=2026-06-06/2026-06-06T07-33-59-416Z-8c2fe71c454900af4ca722179889b98211e5a59997f9aacdac212c7c49bc00be.json
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Parsed Structured
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Extensions
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Native Structured
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