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Equities Data Platform Lead

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Barclays

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a strategic and hands‑on Technology Leader to define and execute the multi‑year vision for our Equities Data Platform. This role leads a high‑performing team of data, platform, and KDB engineers to build the next generation of real‑time and historical data capabilities that power our global Equities business. As the owner of end‑to‑end platform delivery, you will drive modern data architecture adoption, partner closely with trading, quant research, and risk teams, and ensure our platform meets the highest standards of reliability, scalability, and performance. This is a high‑visibility opportunity to shape data strategy, influence senior leadership, and deliver industry‑leading solutions at scale.

Job Responsibility:

  • Define and execute the multi-year technology strategy for the Equities Data Platform
  • Lead, grow, and mentor a cross-functional team of 10-15+ engineers (KDB developers, data engineers, platform engineers)
  • Own the end-to-end delivery of platform capabilities including APIs, SDK, MCP/AI integration, and dashboards
  • Partner with quant research, trading, and risk stakeholders to translate business needs into scalable technical solutions
  • Drive adoption of modern data architecture patterns (event-driven, lakehouse, real-time + historical)
  • Establish production-grade operations: SLAs, monitoring, support models, data quality frameworks
  • Manage vendor relationships and build-vs-buy decisions across the data stack
  • Represent the platform to senior technology and business leadership
  • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence
  • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps
  • Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives
  • Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization
  • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
  • Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process

Requirements:

  • Expertise in data engineering, platform development, or quantitative technology, including in leadership roles
  • Deep experience in capital markets data - market data, trading systems, risk, or quantitative research platforms
  • Strong technical foundation in time-series databases (KDB+/Q preferred), Python, and modern data stack (Kafka, Spark, Iceberg, cloud)
  • Track record of building and scaling high-performing engineering teams
  • Experience delivering self-service data platforms for technical users (quants, developers)
  • Excellent stakeholder management - able to translate between business needs and technical execution

Nice to have:

Exposure to AI/ML integration, LLMs, or agentic systems is a plus

What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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