Senior kdb+ Architect & Tech Lead

Dataintellect

New York (NY)

Hybrid

USD 150,000 - 230,000

Full time

7 days ago
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Benefits offered by this job

Hybrid & flexible working
Global opportunities
Continuous learning (training & certs)
Clear progression pathways (biannual)
Healthcare & wellbeing
Flexible holiday allowance
Generous referral bonuses
Social events

Job summary

Data Intellect is seeking a senior kdb+ engineer to lead technical delivery on client projects and architect scalable, high-performance time-series systems for top financial institutions. You will mentor teams, own the full lifecycle of client applications, and collaborate with quants, traders and analysts to translate business needs into efficient code.

The role rewards strong leadership, deep kdb+/q expertise and a passion for clean, performant code, with hybrid work across global offices and

Qualifications

  • 5+ years of kdb+ development experience.
  • Designing and scaling kdb+ architectures in production.
  • Strong Unix/Linux scripting background.
  • Excellent communication with technical and non-technical stakeholders.
  • Experience in capital markets or investment banking.

Responsibilities

  • Lead technical delivery on client projects, setting quality and performance standards.
  • Design and implement robust kdb+ architectures for large datasets.
  • Collaborate with quants, traders and analysts to translate business needs into performant code.
  • Mentor and guide junior and mid-level developers, fostering technical excellence.
  • Own the full development lifecycle for client applications.
  • Drive innovation by staying ahead in kdb+, q, and emerging tech.

Skills

kdb+ development
Time-series data
Leadership
Unix/Linux
Communication
Capital markets

Tools

kdb+
Python
AWS
GCP
Azure

Job description

Data Intellect is seeking a senior kdb+ engineer to lead technical delivery on client projects and architect scalable, high-performance time-series systems for top financial institutions. You will mentor teams, own the full lifecycle of client applications, and collaborate with quants, traders and analysts to translate business needs into efficient code.

The role rewards strong leadership, deep kdb+/q expertise and a passion for clean, performant code, with hybrid work across global offices and

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