Senior Data Architect

Job Description – Data Architect

Role Overview

We are seeking an experienced Data Architect to collaborate with stakeholders and design innovative, scalable, and high-performance data solutions. The role involves shaping enterprise-wide data architectures, developing strategies and governance frameworks, and ensuring solutions align with business objectives and technology strategies. You will play a key role in communicating data findings, building integrations, and delivering real-world value through modern data capabilities.

Key Responsibilities

  • Partner with stakeholders to understand requirements, conduct discoveries, and design data-driven solutions that are scalable, performant, and resilient.
  • Clearly and concisely communicate data architecture, strategies, and findings to both technical and non-technical audiences.
  • Apply data architecture principles to solve complex challenges, including the design and implementation of enterprise-wide data architectures aligned with business and IT strategies.
  • Define and implement data strategies, governance frameworks, and operating models (spanning technology, people, and processes).
  • Design and maintain data models (conceptual, logical, and physical) across databases, data lakes, and warehouses.
  • Enable data integration with diverse systems and platforms via APIs and middleware, covering structured, semi-structured, and unstructured data sources.
  • Contribute to the productionisation of new data capabilities through discovery, prototyping, requirements definition, and implementation.
  • Deliver measurable customer value by ensuring solutions are tailored to business context and operational needs.

Qualifications & Skills

Technical Expertise

  • Proven hands-on experience with data platforms such as Azure, AWS, and Informatica.
  • Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault).
  • Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka).
  • Experience in Big Data solutions (Hadoop, Cassandra).
  • Understanding of compliance frameworks (e.g., GDPR, ISO 22701) and industry methodologies (e.g., TOGAF, DAMA ).
  • Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA).

General Skills

  • Eligible for Security Clearance .
  • 5+ years of experience in data-focused roles , including 2+ years in data architecture (public and/or private sector).
  • Strong leadership and mentoring abilities; able to support pre-sales and practice growth .
  • Proactive, self-starter with excellent problem-solving and communication skills .
  • Actively engaged with data standards, open-source communities, or industry forums .
Company
Experis
Location
City of London, Greater London, UK
Posted
Company
Experis
Location
City of London, Greater London, UK
Posted