{"id":863157,"url":"https://alion.io/job/genevatrading-data-engineering-manager","title":"Director of Data Services","company":{"id":673822,"name":"Geneva Trading","domain":"genevatrading.com","url":"https://alion.io/company/genevatrading","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"KDB+","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Tcpdump","optional":false},{"name":"Time Series","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-05-06T17:54:54Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T21:24:37Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":184},"description":"Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.\nAbout Geneva Trading\nGeneva Trading is a proprietary trading firm focused on high-frequency and algorithmic trading across global markets.\nExecution matters, but it is only one part of the edge. A lot of what we do depends on the quality of the data behind the trading, research, analytics, monitoring, and post-trade workflows. If the data is late, wrong, incomplete, or hard to use, people feel it quickly.\nThis team owns that problem.\nThe Role\nWe are looking for a Director of Data Services to own our market data platforms and analytical data systems.\nThis is not a pure people-management role. You will manage a small team, but you will also be expected to write production code, review designs, debug systems, and stay close to the technical details. We are looking for someone who still wants to build and who can lead by being in the work with the team.\nThe core responsibility is to make sure our market data is captured, normalized, stored, and delivered correctly. The challenge is doing that across multiple venues, data sources, protocols, consumers, and performance requirements.\nTrading systems, researchers, analysts, and monitoring tools all depend on this data. The person in this role needs to understand that reliability, correctness, and recoverability matter as much as speed.\nNew Opportunity\nThe way we use data is changing.\nHistorically, our market data platforms were built mainly for two types of consumers: trading systems that need fast and reliable access, and people doing research or analysis. We now have a third type of consumer emerging: AI-driven tools, models, and agents.\nThat changes some of the requirements. These systems need clean structure, good metadata, lineage, context, and access patterns that are not always the same as a human writing a query. They may search across data differently, ask questions differently, and generate query volumes that are very different from normal human usage.\nWe are not expecting someone to show up with all of this solved. We are also not looking for someone to simply bolt an AI interface onto an existing database. We want someone who understands where data platforms are going and can make practical engineering decisions now so the platform is ready for both human and machine-driven use.\nHaving a real point of view on this matters for the role.\nWhat Success Looks Like\nThis is a deep stack, so we do not expect someone to master everything immediately. A rough first-year path would look like this:\nIn the first 90 days, you understand the main parts of the data stack, the people who depend on it, and the biggest pain points. You have shipped improvements to at least one real pipeline, not just reviewed documents or attended meetings.\nBy six months, you are helping steer the roadmap for market data infrastructure. You have improved reliability, performance, observability, or recoverability in a way we can measure. The team is relying on you in code reviews, design reviews, and production decisions.\nBy the end of the first year, you own the platform end to end, from ingestion through delivery. People across trading, research, and technology know to come to you for market data platform questions. You also have a clear view of how the platform needs to evolve as AI becomes a larger data consumer, and you have started moving it in that direction.\nKey Responsibilities\nMarket Data Pipeline Engineering\nOwn the market data pipeline from ingestion through normalization and near-real-time delivery. The data has to be correct first, and the system has to recover cleanly when something breaks.\nResponsibilities include:\nIntegrating direct exchange feed capture alongside third-party vendor data\nBuilding and improving replay, recovery, and gap-detection capabilities\nKeeping market data correctly sequenced, validated, and available fast enough for downstream users\nUnderstanding when latency matters, when durability matters more, and how to make the right tradeoff\nTime-Series Architecture: KDB+/Q\nDesign, maintain, and improve the KDB+/Q platforms that hold our real-time and historical market data.\nResponsibilities include:\nSchema design, partitioning, and query-performance tuning\nSupporting real-time and historical analytics use cases\nManaging retention and data lifecycle policies\nKeeping the platform maintainable as data volumes and usage grow\nDebugging production HDB and tickerplant issues directly\nData Distribution & Platform Integration\nDeliver data reliably to downstream consumers through streaming, messaging, and platform integrations.\nResponsibilities include:\nDefining data contracts and schemas that other teams can depend on\nSupporting replayable and durable data flows where needed\nWorking with downstream teams to understand how they actually consume the data\nBalancing real-time delivery needs with reliability and operational simplicity\nTooling, Libraries & Supporting Systems\nBuild the internal tooling and shared libraries that make the data platform easier to operate and easier to use.\nResponsibilities include:\nBuilding validation, monitoring, replay, and analytics tools\nOwning supporting systems for reference data, configuration, and metadata\nImproving developer workflows around market data testing and troubleshooting\nReducing repeated manual work through better tools and automation\nTechnical Leadership & Production Ownership\nLead the team by staying close to the work.\nResponsibilities include:\nWriting production code\nReviewing pull requests and technical designs\nWorking directly with trading and research teams to understand their needs\nDebugging production issues during market hours when needed\nSetting expectations for quality, reliability, and maintainability\nImproving monitoring, alerting, and data-quality checks so problems are caught before the desk finds them\nTechnology Stack\n\nKDB+ / Q\n\nPython\n\nC / C++\n\nLinux\n\nDocker\n\nGit / CI-CD\n\nBinary market data protocols\n\nStreaming / message bus platforms\n\nKernel-bypass / high-performance networking\n\nIndustry-standard messaging protocols (FIX, SBE)\n\nRequired Qualifications\nAt least 7 years of experience in data engineering, market data infrastructure, or a closely related area\nCurrent hands-on production coding experience\nAt least 3 years leading engineers while staying technically involved\nStrong KDB+/Q experience, including complex Q, tick architecture, query tuning, and production HDB troubleshooting\nStrong production Python experience, including tested, packaged, maintainable systems-level code\nExperience building low-latency decoders for real exchange protocols\nStrong understanding of multicast, packet capture, sequencing, and gap detection\nComfortable working in Linux and using tools such as perf, strace, tcpdump, and numactl\nAble to own production issues directly, not just route them to someone else\nPreferred Qualifications\nBackground in high-frequency trading, market making, proprietary trading, or another latency-sensitive environment\nC or C++ experience for performance-critical decoder or capture components\nExperience with kernel-bypass or high-performance networking technologies\nExperience with streaming platforms used in real-time data pipelines\nWorking knowledge of binary market data encoding standards\nContributions to open-source data tooling, market data systems, or quantitative research infrastructure\nRole Details\nReports to the CTO\nBased in Chicago, IL; hybrid, with three days per week in the office\nNo direct on-call rotation; the platform has 24-hour coverage from dedicated staff and support teams\nCompensation \nBase Salary Range: $180,000 - $250,000, plus eligibility for a performance-based bonus. \nFinal compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ \nApplication expected to close: 1/05/2027 \nWe are an equal opportunity employer and value diversity at our company. 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