Lead kdb+ Architect — Real-Time Finance Platform

Data Intellect Limited; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare & wellbeing

Global opportunities

Referral bonuses

Job summary

Data Intellect is seeking a Senior kdb+ Architect to lead a greenfield kdb+ platform build for a top-tier Investment Banking client in New York. You will define system architecture, shape data models, and own end-to-end delivery of high-performance, low-latency solutions.

You will collaborate with quants, traders, and analysts, driving architectural decisions and mentoring junior engineers while advancing the firm's analytics stack.

Qualifications

• 5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
• Designing and implementing kdb+ architectures and scalable systems.
• Experience with real-time and historical data streams.
• Strong Unix/Linux scripting background.
• Proven technical leadership and decision-making in fast-paced projects.
• Excellent communication with both technical and non-technical stakeholders.
• Experience in capital markets or investment banking.
• Passion for clean, performant code and continuous improvement.

Responsibilities

• Lead technical delivery on client projects, setting quality and performance standards.
• Design robust kdb+ architectures handling billions of rows of time-series data.
• Collaborate with quants, traders, and analysts to translate business needs into code.
• Mentor and guide junior and mid-level developers.
• Own the full development lifecycle for client applications.
• Drive innovation by staying ahead in kdb+, q, and related tech.

Skills

kdb+/q

Time-series data

Architectural design

Unix/Linux scripting

Technical leadership

Communication

Capital markets experience

Performance optimization

Job description

Data Intellect is seeking a Senior kdb+ Architect to lead a greenfield kdb+ platform build for a top-tier Investment Banking client in New York. You will define system architecture, shape data models, and own end-to-end delivery of high-performance, low-latency solutions.

You will collaborate with quants, traders, and analysts, driving architectural decisions and mentoring junior engineers while advancing the firm's analytics stack.