Data Architect

Overview

Shaping a smarter, more agile world!

Atkins

Réalis is growing its Solution Design team and is looking for Data Architects who are curious, who want to become part of our customers' digital journey and who want to have a voice in shaping our future digital world. Is this you?

We are looking to expand our multi‑disciplinary team with people from diverse backgrounds who bring data architecture expertise to the digital transformation of our stakeholders' technology landscapes and ways of working.

You may currently be a data architect, data engineer, analytics consultant, solution architect or enterprise architect seeking a new challenge. We welcome applications from creative, adaptable systems thinkers who are passionate about designing data‑centric solutions, shaping future information capabilities, and expanding your own career potential along the way.

When it comes to living your life, we want your role with Atkins

Réalis to be a key part of your personal journey. We have a collaborative inclusive team culture where people will help, guide and mentor you to help you grow. We pitch in and help colleagues because we succeed as a team. Our flexible and remote working policies are designed to support different personal priorities and needs.

This role is within the Secure Government business unit which has an excellent record in consultancy and delivery to a wide range of clients, which includes some of the largest public and private sector organisations in the UK, particularly in defence, security and government markets.

We are looking for Data Architects at various levels to enhance our team and technology solutions capability. To succeed, our customers require expert advisors who listen and advise clearly demonstrating their deep experience and mature methods.

You will be responsible for the definition of data architectures, data models, data flows, options and solutions to meet strategic business and information objectives. You will ensure these designs are robust, sustainable and fit‑for‑purpose for current and future data needs.

As a Data Architect, you will be responsible for the design, development and communication of data‑centric solutions that support our clients' business strategies. Leading and/or supporting initiatives, you will introduce data visions and architectures within the wider Enterprise Architecture Framework. Your responsibilities will include:

• Defining enterprise and solution‑level data architectures in complex, mixed‑technology environments.
• Designing conceptual, logical and physical data models that support strategic outcomes.
• Leading data discovery, profiling and requirements analysis activities.
• Developing data standards, governance models, metadata frameworks and master data strategies.
• Designing data pipelines, integrations and data flows across systems and domains.
• Balancing technology, security and business needs to deliver effective data solutions.
• Producing data architecture artefacts in line with business strategies and appropriate frameworks.
• Supporting data‑driven digital transformation and enabling modern analytical capabilities.

• 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 (e.g., DAMA, DCAM, TOGAF).
• Strong understanding of conceptual, logical and physical data modelling and associated tools (e.g., ERwin, Sparx EA, Archi Mate, 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 modern data technology domains, including:
  • Cloud data platforms (Azure, AWS, GCP).
  • Data lakes, warehouses and lakehouse architectures.
  • ETL/ELT processes and tooling.
  • Streaming and event‑driven architectures.
  • API‑led integration and data virtualisation.
• Understanding of data security‑by‑design, privacy, compliance and governance…