Data Architect

Accenture · London, England ·

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Overview

As a Data Architect at Accenture, you will shape data architecture for high-impact government and private-sector projects and lead data strategy across client engagements. You will mentor teams, govern delivery, and define scalable data models and migration plans. The role combines hands-on design with strategic oversight to ensure robust, standards-based solutions. This is an opportunity to influence data ecosystems at scale within a global consultancy that values innovation and collaboration.

Pay / Benefits

  • 25 days’ vacation per year
  • private medical insurance
  • 3 extra days leave per year for charitable work

Responsibilities

  • Define architecture for high-profile projects across government and private sector
  • Define data strategy, migration approach, integration approach, data models and data design
  • Analyze client systems and document scope, context and constraints
  • Define and document standards and guidelines for build and deployment
  • Ensure architectural principles are applied to deliverables
  • Define a strategic Data Model across enterprise and products
  • Propose data storage solutions for distributed systems
  • Govern and support technical delivery of data solutions
  • Line manage, mentor, train and develop others

Key requirements

  • Strong architecture and software engineering background
  • Experience leading teams of engineers or architects
  • Hands-on data architect experience with Java, Scala and Python
  • Experience with Big Data technologies
  • Experience with Microsoft Azure and cloud services
  • Experience with both open source and vendor data platforms
  • Experience with data architecture concepts, methodologies and approaches
  • Experience with microservices architecture
  • Experience designing for structured and unstructured data
  • Understanding non-functional drivers for design
  • Experience with data modelling
  • Strong background in Java and REST services
  • Excellent communication and stakeholder management
  • Effective verbal and written communication
  • Leadership and mentoring
  • Collaborative mindset with clients and internal teams
  • Big Data technologies
  • Microsoft Azure and services
  • Data modelling
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