Senior kdb+ Architect for Capital Markets

Dataintellect; New York (NY); On-site; USD 190,000 - 260,000; Full time

Job summary

Data Intellect in New York is seeking a Senior kdb+ Consultant to lead high-performance, time-series data solutions for financial institutions.

You will design scalable kdb+ architectures, mentor developers, and own the full lifecycle from development to production support, collaborating with quants, traders, and analysts to translate business needs into efficient code. A strong background in capital markets and Unix/Linux scripting is required.

Qualifications

• 7+ years of hands-on kdb+ development.
• Experience designing and scaling kdb+ architectures.
• Strong Unix/Linux and scripting background.
• Demonstrated technical leadership in fast-paced projects.
• Excellent communication with technical and non-technical stakeholders.
• Capital markets or investment banking domain experience.
• Commitment to clean, performant code and continuous improvement.

Responsibilities

• Lead technical delivery on client projects, setting quality and performance standards.
• Design and implement robust kdb+ architectures for large time-series data.
• Collaborate with quants, traders, and analysts to translate business needs into efficient code.
• Mentor and guide junior and mid-level developers.
• Own the full development lifecycle: develop, test, support and maintain client applications.
• Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.

Skills

kdb+ development

q language

time-series data

Unix/Linux scripting

technical leadership

communication skills

capital markets experience

Python

AWS

GCP

Azure

time-series databases

Tools

Python

AWS

GCP

Azure

Time-series databases

Job description

Data Intellect in New York is seeking a Senior kdb+ Consultant to lead high-performance, time-series data solutions for financial institutions.

You will design scalable kdb+ architectures, mentor developers, and own the full lifecycle from development to production support, collaborating with quants, traders, and analysts to translate business needs into efficient code. A strong background in capital markets and Unix/Linux scripting is required.