Data Architect

Data Architect

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design scalable and secure data solutions using Microsoft Azure for diverse clients.
  • Company: Join Valorem Reply, a leading digital transformation consultancy focused on Microsoft technologies.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace committed to equal opportunities for all.
  • Why this job: Shape the future of data architecture while making a real impact on businesses.
  • Qualifications: Experience in data engineering or architecture with strong Azure expertise required.

The predicted salary is between 72000 - 88000 £ per year.

Valorem Reply is the UK branch of the global Reply group, a leading Microsoft-focused digital transformation consultancy. We blend the agility of a local business with the resources of a global enterprise, specialising in Azure to simplify how businesses modernise their IT, data, and analytics. Our strapline "modernisation, simplified..." highlights our mission to make cloud journeys straightforward and effective.

Role Overview

As a Data Architect, you will design practical, scalable, and secure data solutions for clients, with a strong focus on Microsoft Azure and modern data platform services. You will work closely with customers, delivery teams, and internal stakeholders to understand business requirements, define data architectures, and support the successful delivery of analytics and data platform solutions. This role is suited to someone with a solid background in data engineering or data solution design who is ready to take the next step into architecture, shaping end-to-end solutions across ingestion, storage, transformation, modelling, governance, and consumption. You will help clients improve the quality, accessibility, structure, and value of their data, ensuring solutions are robust, maintainable, and aligned to business goals while considering security, performance, resilience, and cost. This is a hybrid role either based in Manchester or London.

  • Design end-to-end data solutions across ingestion, transformation, storage, modelling, and consumption layers.
  • Work with clients to understand business goals, reporting needs, data challenges, and technical constraints.
  • Produce high-quality architecture documentation, solution designs, and data models.
  • Design secure, scalable, resilient, and supportable data platforms and solutions.
  • Define patterns for data integration, transformation, storage, and analytics.
  • Support the design of lakehouse, warehouse, and reporting solutions using Azure-based services.
  • Ensure data quality, lineage, governance, and security are incorporated into solution design.
  • Collaborate with engineers and consultants and facilitate workshops and design discussions with clients and delivery teams.
  • Evaluate design options and contribute to best practices, reusable assets, and mentoring of junior team members.

About the Candidate

  • Experience in data engineering, data solution design, or data architecture roles, with strong expertise in Microsoft Azure data services and modern cloud platforms (e.g. Databricks).
  • Good understanding of end-to-end data architecture, including ingestion, transformation, storage, modelling, and reporting.
  • Experience with Azure services such as Data Factory, Databricks, Synapse Analytics, Fabric, or Data Lake Storage.
  • Strong understanding of data modelling concepts, including logical, physical, dimensional, and analytical models.
  • Ability to design practical, maintainable data solutions aligned to business and technical requirements, and produce architecture artefacts and technical documentation.
  • Experience working in customer-facing roles, engaging effectively with clients and stakeholders.
  • Strong understanding of data quality, security, access control, and governance principles, with good communication, facilitation, and problem-solving skills.
  • Self-sufficient and collaborative, with the ability to work independently, alongside a structured, detail-oriented, and outcome-focused approach.
  • Experience with Microsoft Fabric, lakehouse architectures, and hands-on development using Python, SQL, or Spark would be advantageous, along with familiarity with integration technologies.
  • Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other cloud platforms, and exposure to AI/ML use cases would be beneficial.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Data Architect employer: Reply Ltd

Valorem Reply is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to design impactful data solutions for clients. With a strong focus on professional growth, we offer extensive training opportunities in cutting-edge technologies like Microsoft Azure, ensuring our team members thrive in their careers. Located in vibrant cities like Manchester and London, we provide a hybrid work environment that balances flexibility with the resources of a global enterprise, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Reply Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect

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We think you need these skills to ace Data Architect

Data Architecture
Microsoft Azure
Data Engineering
Data Solution Design
Data Factory
Databricks
Synapse Analytics

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