KDB Development Lead

Millennium Management LLC

New York (NY)

On-site

USD 175,000 - 250,000

Full time

3 days ago
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Job summary

Millennium Management LLC seeks a KDB Development Lead to own architecture and roadmap for high-volume time-series data platforms built on kdb+ and q. You will lead and mentor engineers, drive performance, and partner across trading, research, and data teams to deliver durable solutions.

Applicants should have deep experience with real-time data ingestion, tickerplant-like architectures, and strong leadership capabilities.

Qualifications

  • Significant experience with kdb+ and q in production systems.
  • Leadership experience guiding engineers or teams.
  • Strong communication with technical and non-technical stakeholders.

Responsibilities

  • Lead, mentor, and develop a team of KDB/q engineers.
  • Own architecture and roadmap for kdb+ platforms.
  • Design scalable q solutions for real-time and historical data.
  • Drive performance tuning and capacity planning.
  • Establish engineering best practices and CI/CD pipelines.

Skills

KDB+/Q
Time-series data
Technical leadership
Production systems

Tools

Jupyter notebooks
CI/CD
Git
Python
Java
C++

Job description

KDB Development LeadAbout MillenniumMillennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.Meet the TeamInformation Technology is central to the health and growth of Millennium’s active, multi-manager business model, which requires flexible, scalable technology and advanced proprietary systems. The KDB Development team builds and operates high-performance time-series data platforms using kdb+ and q, with a focus on the architecture, performance, reliability, and usability of real-time and historical databases. The team also supports accessible analytics interfaces, including Jupyter notebooks, and partners closely with trading, research, data, and infrastructure stakeholders.What You'll DoLead, mentor, and develop a team of KDB/q engineers, establishing clear priorities, engineering standards, accountability, and ownership.Own the architecture and roadmap for kdb+ real-time and historical database platforms, including data ingestion, intraday processing, end-of-day workflows, storage, retention, recovery, and query access.Design and implement scalable q solutions for high-volume real-time and historical time-series data, with a focus on performance, reliability, and maintainability.Drive performance tuning across memory management, database partitioning and sym attributes, query patterns, indexing, process communication, and capacity planning.Build and maintain analyst-facing data-access tooling, including Jupyter notebook environments, q/Python integrations, reusable notebooks, and supported query libraries.Establish engineering best practices for code quality, automated testing, source control, CI/CD, release management, documentation, monitoring, and incident response.Embed data-quality controls, reconciliation processes, entitlements, auditability, and retention policies into platform design.Partner with trading, quantitative research, operations, data engineering, and infrastructure teams to deliver durable solutions; lead design and code reviews, production support, and continuous improvements following incidents.What You BringSignificant experience developing and operating production systems using kdb+ and q, including the design, support, and tuning of real-time and historical database architectures.Expertise in real-time data ingestion, tickerplant-based or comparable streaming architectures, intraday recovery, end-of-day processing, and historical data management.Strong command of time-series data design, high-performance q queries, partitioned databases, memory management, and operational performance troubleshooting.Experience delivering analytical workflows through Jupyter notebooks, including q/Python interoperability and well-governed self-service data access.Demonstrated technical leadership and experience guiding engineers through delivery as a people manager, team lead, or senior technical lead.Strong software engineering discipline, including testing, code review, CI/CD, version control, and production release practices.Experience integrating KDB with adjacent technologies such as Python, Java, C++, APIs, messaging platforms including Solace or Kafka, and infrastructure tooling.Clear written and verbal communication skills, with the ability to partner effectively with technical and non-technical stakeholders in high-throughput, latency-sensitive environments.Salary RangeMillennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York City and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
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