At a Glance
- Tasks: Design and implement innovative data solutions for financial services clients.
- Company: Affinity Reply is a top UK architecture consultancy focused on IT/Business alignment.
- Benefits: Enjoy flexible working options and a supportive, inclusive culture.
- Other info: We value diversity and encourage applicants to request adjustments during recruitment.
- Why this job: Join a dynamic team driving digital transformation in the financial sector.
- Qualifications: 2+ years experience in data architecture, especially within financial services.
The predicted salary is between 43200 - 72000 £ 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.
Responsibilities
- Design end‑to‑end data solutions across ingestion, transformation, storage, modelling, and consumption.
- 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.
Qualifications
- 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.
Benefits
Reply offers competitive remuneration and benefits, but details are not provided in the description.
Equal Opportunity Statement
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 law. Reply is committed to making sure that our selection methods are fair to everyone.
#J-18808-LjbffrData Architect in London employer: Reply
At Reply, we pride ourselves on being an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. Our vibrant culture encourages continuous learning and professional growth, with diverse projects that challenge and inspire our team members. Located in a thriving tech hub, we provide unique opportunities to work with cutting-edge technologies while enjoying a supportive atmosphere that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture, especially within the financial services sector. This will not only help you understand the industry's needs but also allow you to speak confidently about how your skills can meet those demands during interviews.
✨Tip Number 2
Network with professionals in the financial services and data architecture fields. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn more about what companies like us are looking for in a Data Architect.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving abilities and expertise.
✨Tip Number 4
Stay updated on cloud technologies and platforms like AWS, Azure, and Google Cloud. Being able to discuss your experience with these tools will show that you're not only knowledgeable but also adaptable to the evolving landscape of data architecture.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Tailor your application to highlight how your skills and experiences align with the specific needs of Affinity Reply.
Highlight Relevant Experience:In your CV and cover letter, emphasise your experience in data architecture, particularly within the financial services sector. Provide specific examples of projects where you've designed data systems or implemented data solutions that demonstrate your expertise.
Showcase Technical Skills:Clearly outline your technical skills related to data architecture, such as your proficiency with cloud platforms like AWS, Azure, or Google Cloud. Mention any relevant tools or technologies you've used, especially those related to data modelling and ETL processes.
Craft a Compelling Cover Letter:Write a tailored cover letter that not only summarises your qualifications but also expresses your passion for digital transformation and how you can contribute to Affinity Reply's mission. Make it personal and engaging to stand out from other applicants.
How to prepare for a job interview at Reply
✨Showcase Your Financial Services Knowledge
Make sure to highlight your understanding of the financial services industry during the interview. Discuss how effective data architecture can support business objectives and share examples from your past experiences that demonstrate this knowledge.
✨Demonstrate Data Architecture Expertise
Be prepared to discuss your experience with designing scalable and secure data systems. Bring specific examples of data warehouses, data lakes, or ETL processes you've implemented, especially in a financial context, to showcase your technical skills.
✨Communicate Clearly and Collaboratively
Since excellent communication skills are essential for this role, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Be ready to discuss how you’ve collaborated with cross-functional teams in previous projects.
✨Stay Updated on Emerging Technologies
Show your proactive approach by discussing recent trends or technologies in data architecture that you’ve been following. This demonstrates your commitment to continuous learning and innovation, which is crucial for a role focused on digital transformation.