At a Glance
- Tasks: Design scalable data solutions and collaborate with clients to meet their business needs.
- Company: Join a leading Microsoft-focused digital transformation consultancy with a global reach.
- 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 innovative data architectures and make a real impact on client success.
- Qualifications: Experience in data engineering or architecture, especially with Microsoft Azure services.
The predicted salary is between 60000 - 80000 £ 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.
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.
Responsibilities
- 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 prohibits 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 in London employer: Reply, Inc.
Valorem Reply is an exceptional employer that combines the agility of a local business with the extensive resources of a global enterprise, making it an ideal place for Data Architects to thrive. With a strong focus on employee growth and development, we offer a collaborative work culture that encourages innovation and creativity, alongside competitive benefits and a commitment to diversity and inclusion. Located in vibrant cities like Manchester and London, our hybrid work model provides flexibility while engaging in meaningful projects that simplify digital transformation for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving Azure services. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios and case studies. We suggest practising your problem-solving skills and being ready to discuss how you would tackle real-world data challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Architect position!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with Microsoft Azure and data architecture, and show us how your skills align with our mission of simplifying modernisation.
Showcase Your Projects:Include specific examples of data solutions you've designed or worked on. We want to see your hands-on experience with Azure services like Data Factory or Databricks, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point about your qualifications and experiences.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Reply, Inc.
✨Know Your Azure Inside Out
As a Data Architect, you'll be working heavily with Microsoft Azure. Make sure you brush up on your knowledge of Azure services like Data Factory, Databricks, and Synapse Analytics. Be ready to discuss how you've used these tools in past projects and how they can solve specific business challenges.
✨Showcase Your Problem-Solving Skills
During the interview, expect to face scenarios where you'll need to demonstrate your problem-solving abilities. Prepare examples from your experience where you tackled data challenges or improved data quality. This will show that you can think critically and provide practical solutions.
✨Communicate Clearly and Effectively
You'll be engaging with clients and stakeholders, so strong communication skills are a must. Practice explaining complex data concepts in simple terms. This will not only help you connect with the interviewers but also showcase your ability to work collaboratively with non-technical teams.
✨Prepare for Technical Questions
Expect technical questions related to data architecture, modelling, and governance principles. Review key concepts and be prepared to discuss your approach to designing secure and scalable data solutions. Having a few case studies or examples ready can really set you apart.
