Equities Data Platform Lead

jobs.barclays

Not specified (suggested "hybrid" based on industry norms)
Equities data platform
Technical excellence and innovation
Software solutions design
The job posting is for an Equities Data Platform Lead at Barclays, responsible for driving innovation and technical excellence in software solutions while mentoring engineering teams and collaborating with various business units. The role involves defining a multi-year technology strategy for the Equities Data Platform, managing a cross-functional team, and ensuring the delivery of reliable and scalable solutions

Job Summary

  • Drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning.
  • Define and execute the multi-year technology strategy for the Equities Data Platform, leading a cross-functional team of 10-15+ engineers to build the next generation of real-time and historical data capabilities.
  • Partner with quant research, trading, and risk stakeholders to translate business needs into scalable technical solutions and drive adoption of modern data architecture patterns.

Matching Summary

Match Score: 85

The job posting is for an Equities Data Platform Lead at Barclays, responsible for driving innovation and technical excellence in software solutions while mentoring engineering teams and collaborating with various business units. The role involves defining a multi-year technology strategy for the Equities Data Platform, managing a cross-functional team, and ensuring the delivery of reliable and scalable solutions.

Skills & Requirements

Must-have

  • Equities Data Platform
  • Technical Excellence and Innovation
  • Software Solutions Design
  • Mentorship to Engineering Teams
  • Cross-functional Collaboration
  • Strategic Planning
  • Real-time and Historical Data Capabilities

Nice-to-have

  • AI/ML integration
  • LLMs
  • Agentic systems
  • Industry best practices
  • Performance culture

Key Requirements

  • Leadership roles in data engineering
  • Capital markets data experience
  • Time-series databases (KDB+/Q)
  • Python and modern data stack
  • Building and scaling engineering teams
  • Self-service data platforms

Work Rights

Not specified

Tailored Resume

Cover Letter