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AtkinsRéalis

Engineering services for infrastructure and energy

Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeCheltenham, UKNo salary listed

About the Job

Requirements

  • A degree in a science, computing, or engineering subject, or equivalent experience.
  • Proven experience as a Data Architect, Data Engineer, Analytics Consultant, or similar role.
  • Experience with data architecture frameworks and modelling techniques, such as DAMA, DCAM, and TOGAF.
  • Strong understanding of conceptual, logical, and physical data modelling and associated tools, such as ERwin, Sparx EA, ArchiMate, and UML.
  • Experience designing enterprise data flows, integrations, and data pipelines.
  • In-depth understanding of data management principles, including data quality, metadata, master data, and reference data.
  • Experience gathering and analysing data and system requirements in complex environments.
  • Broad understanding of cloud data platforms such as Azure, AWS, and GCP; data lakes, warehouses, and lakehouse architectures; ETL/ELT processes and tooling; streaming and event-driven architectures; and API-led integration and data virtualisation.
  • Understanding of data security-by-design, privacy, compliance, and governance aligned to government and industry standards.
  • Familiarity with contemporary analytical and digital services, such as AI/ML, BI, and automation.
  • Appreciation of emerging technologies such as IoT data processing, edge analytics, and automation where appropriate.
  • Strong consulting skills and knowledge of techniques and methods to capture, elaborate, and understand client challenges, including structured thinking, effective report writing and presentations, and stakeholder engagement.
  • Good negotiation, communication, and relationship-building skills to influence business decisions and develop positive relationships with customers, strategic partners, and colleagues.
  • Excellent oral and written communication skills, with the ability to influence effectively across multiple media.
  • Ability to work under guidance and on own initiative, adding expertise and value to project deliverables.
  • Proven analytical and problem-solving skills.
  • A strong interest in and appreciation of technology trends and government IT strategy, including cloud, Internet of Things, cybersecurity, big data, and digital service design and delivery.

Responsibilities

  • Define enterprise- and solution-level data architectures in complex, mixed-technology environments.
  • Design conceptual, logical, and physical data models that support strategic outcomes.
  • Lead data discovery, profiling, and requirements analysis activities.
  • Develop data standards, governance models, metadata frameworks, and master data strategies.
  • Design data pipelines, integrations, and data flows across systems and domains.
  • Balance technology, security, and business needs to deliver effective data solutions.
  • Produce data architecture artefacts in line with business strategies and appropriate frameworks.
  • Support data-driven digital transformation and enable modern analytical capabilities.
  • Design, develop, and communicate data-centric solutions that support clients’ business strategies.
  • Lead and/or support initiatives to introduce data visions and architectures within the wider Enterprise Architecture Framework.
  • Define data architectures, data models, data flows, options, and solutions to meet strategic business and information objectives, ensuring designs are robust, sustainable, and fit for current and future data needs.

Desired Qualifications

  • Experience working within Local Government, Regulated Industries, Defence, or Security and Intelligence markets.
  • Appreciation of and/or experience with delivery methods such as Agile, SAFe, and Scrum and approaches such as scrums and backlogs.
  • Experience with cloud data platforms, data lakes, warehouses and lakehouse architectures, ETL/ELT, streaming and event-driven architectures, API-led integration, and data virtualisation.
  • Experience with IoT data processing, edge analytics, and automation where appropriate.

About the Company

AtkinsRéalis

Engineering services for infrastructure and energy

AtkinsRéalis provides engineering services for infrastructure and nuclear projects, connecting people, data, and technology to plan, design, build, and manage systems worldwide. It delivers integrated services through consulting, design, engineering, and project management, using a global team and data-driven collaboration to move projects from concept to commissioning. The company’s global reach and end-to-end capability across conventional engineering and nuclear sectors enable coordinated delivery across multiple disciplines. Its goal is to transform infrastructure and energy systems worldwide by delivering safe, reliable, and efficient engineering solutions.

Company size
10,001+
Company stage
Acquired
Total funding
$2.8B
Headquarters
Epsom, United Kingdom
Founded
1938

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