Data Intellect

Senior kdb+ Architect (Greenfield Project)

Data Intellect
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4 months ago

Responsibilities

  • Lead technical delivery on client projects and establish standards for quality and performance.
  • Design and implement kdb+ architectures for billions of rows of time-series data.
  • Build systems spanning real-time and historical market data ingestion, high-performance analytics, and downstream visualization.
  • Collaborate with quants, traders, and analysts to translate business requirements into performant code.
  • Own the full development lifecycle, including development, testing, support, and maintenance of client applications.
  • Mentor and guide junior and mid-level developers.
  • Drive innovation in kdb+, q, and adjacent technologies.

Requirements

  • 5+ years of hands-on kdb+ development with deep expertise in q and time-series data.
  • Proven experience designing, implementing, and scaling kdb+ systems in production.
  • Experience architecting both real-time and historical systems.
  • Strong background in Unix/Linux environments and scripting.
  • Demonstrated technical leadership and decision-making in fast-paced projects.
  • Experience in capital markets or investment banking.
  • Excellent communication skills for explaining complex systems to technical and non-technical stakeholders.
  • Passion for clean, performant code and continuous improvement.
  • Preferred: experience with Python, AWS, GCP, Azure, or other time-series databases.
  • Preferred: exposure to tick data, real-time analytics, or electronic trading systems.
  • Preferred: people management or team leadership experience.

Benefits

  • Global opportunities working with clients in London, New York, Hong Kong, Singapore, and beyond.
  • Paid training, certifications, and leadership development.
  • Clear progression paths with biannual promotion cycles and regular 1:1s.
  • Healthcare and wellbeing benefits, with the provider dependent on region.
  • Referral bonuses, social events, and other employee activities.
  • Equal opportunity employer with accommodations available throughout the assessment and selection process.

Categories

BackendData Engineering
Data Intellect

About Data Intellect

201-500 employees
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