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Enterprise Architect

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Barings
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Security, Cloud Computing
Job Description & How to Apply Below
Location: Greater London

Job Title

Enterprise Architect

Location

London or Charlotte, NC / Hybrid

Department

Global Technology & Operations

Reports To

Head of Enterprise Architecture

Level

Associate Director / Director (depending on experience)

About Barings

Barings is a leading global financial services firm committed to meeting the evolving investment and capital needs of our clients. Through active asset management and direct origination, we deliver innovative solutions and access to differentiated opportunities across public and private capital markets. With over $400 billion
* in assets under management, Barings combines deep market insight, cross-asset expertise, and global reach to build long-term portfolios that deliver compelling outcomes. As a subsidiary of Mass Mutual, Barings maintains a strong global presence across North America, Europe, and Asia Pacific.

Role Summary

We are seeking an Enterprise Architect to join our team, bringing a strong foundation in both enterprise architecture governance and enterprise data principles. This position is pivotal in shaping and maintaining the architecture framework that supports our organisation’s strategic objectives, ensuring robust governance processes are in place and that data remains a trusted asset across the enterprise.

The ideal candidate will possess broad experience across all aspects of enterprise architecture, with demonstrated expertise in the design, implementation, and oversight of architecture governance practices. In addition, they should have a solid background in enterprise data architecture, enabling them to align technology solutions with business needs and enhance the value of data throughout the organisation.

This position involves strategic planning, working collaboratively with others, and influencing architecture standards and guidelines. It also includes supporting cross-functional teams in providing scalable and sustainable technology solutions.

Key Responsibilities Architecture enablement and Governance
  • Develop, maintain, and enhance the enterprise architecture framework, ensuring alignment with strategic business objectives and regulatory standards.
  • Support and improve architecture governance processes and tools and participate in forums like the Architecture Review Board (ARB) to aid decision-making and ensure compliance with standards and best practices.
  • Advise and support project teams on architectural design, solution selection, and implementation, promoting scalable and sustainable technology solutions.
  • Maintain and contribute to enterprise-wide knowledge repositories and architecture artifacts, fostering knowledge sharing and continuous improvement.
  • Collaborate with stakeholders, including solution architects, data engineers, business analysts, Security, Compliance, and platform teams, to define and implement data architecture strategies and roadmaps that drive business growth and operational efficiency.
Enterprise Data Architecture
  • Support the creation and maintenance of reference architectures and integration patterns for data movement, consumption, and interoperability.
  • Design scalable solutions across structured and unstructured data platforms (e.g., Databricks, Azure Data Fabric, Azure Data Lake, SharePoint).
  • Integrate data governance and quality by embedding metadata management, lineage tracking, access controls, retention policies, and data quality standards across the enterprise.
  • Enhance data discoverability, compliance, and stewardship by integrating with metadata platforms (e.g., Collibra, Purview) and collaborating with Data Governance and Risk teams.
  • Stay current with emerging data technologies and industry trends, contributing thought leadership within internal and external forums to ensure Barings’ architecture remains forward-looking and competitive.
  • Architect robust data platforms to enable advanced analytics and AI, supporting the deployment of models and pipelines.
  • Work with AI/ML innovation labs and business teams to ensure data architectures support model training pipelines, retrieval-augmented generation (RAG), agent-based frameworks, and analytics use cases.
Qualifications & Experience
  • 10+ years of experience in data architecture,…
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