Solution Architect – Data Focus
Solution Architect – Data Focus

Solution Architect – Data Focus

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
E

At a Glance

  • Tasks: Lead data architecture projects and design solutions for complex data requirements.
  • Company: Join a tech-driven company focused on meaningful change and innovative digital experiences.
  • Benefits: Enjoy competitive salary, flexible working hours, career development, and wellness programmes.
  • Why this job: Be part of a global shift, working on impactful projects with a collaborative team culture.
  • Qualifications: 7+ years in data architecture, strong skills in SQL/NoSQL, and knowledge of big data technologies required.
  • Other info: We value diversity and inclusivity, welcoming applicants from all backgrounds.

The predicted salary is between 42000 - 84000 £ per year.

Get AI-powered advice on this job and more exclusive features.

Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact – be part of a global shift by doing work that matters
Job Description
We are seeking an experienced Solution Architect – Data Focus to join our innovative team in London, United Kingdom.
This is a hands-on architecture role for someone who brings deep expertise in data and database design, but who also operates as a solution architect across projects and pre-sales. They\’’ll lead architecture work in both client-facing delivery and earlier phases like discovery and opportunity shaping—always with a sharp lens on how to manage and leverage data.
They\’ll be the person the team turns to for strategic thinking around data flows, storage, security, analytics platforms, and the architectural design of data-heavy systems.

  • Architectural Leadership
  • Develop and own solution architectures, especially for projects with complex data requirements.
  • Ensure all designs meet Endava and client standards for performance, security, and scalability.
  • Translate non-functional requirements (NFRs) into technical designs.
  • Data Strategy & Design
    • Lead on data architecture direction—covering modelling, database strategy, data flows, and integration patterns.
    • Guide data governance, retention, and compliance practices (e.g., GDPR, ISO standards).
  • Technical Design & Development Oversight
    • Define storage, publishing, and metadata strategies to support analytics and operational goals.
    • Shape database schemas, data warehouse strategies, and ensure data platforms are fit-for-purpose.
  • Collaboration & Influence
    • Work with business analysts, engineers, delivery leads, and client teams to ensure that solutions are fit for purpose.
    • Take part in architectural assurance, peer reviews, and quality control.
    • Provide coaching and mentoring within Architecture & Data communities.
  • Pre-Sales & Discovery Support
    • Shape architecture for bids, helping define technical scope, estimation, and feasibility.
    • Advise sales and account leads on data-driven components of client solutions.

    Qualifications

    • Education & Experience:
      Bachelor’s degree in Computer Science or related field, with 7+ years in data architecture and solution design, and a history of large-scale data solution implementation.
    • Technical Expertise:
      Deep knowledge of data architecture principles, big data technologies (e.g., Hadoop, Spark), and cloud platforms like AWS, Azure, or GCP.
    • Data Management Skills:
      Advanced proficiency in data modelling, SQL/NoSQL databases, ETL processes, and data integration techniques.
    • Programming & Tools:
      Strong skills in Python or Java, with experience in data visualization tools and relevant programming frameworks.
    • Governance & Compliance:
      Solid understanding of data governance, security, privacy best practices, and data privacy laws, particularly GDPR.
    • Soft Skills:
      Excellent analytical, problem-solving, communication, and interpersonal abilities, with a strong team-oriented mindset.
    • Certifications & Industry Insight:
      Relevant certifications (e.g., AWS or Azure Solutions Architect) are desirable; familiarity with industry-specific data challenges and regulations.

    Additional Information
    Discover some of the global benefits that empower our people to become the best version of themselves:

    • Finance:
      Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
    • Career Development:
      Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
    • Learning Opportunities:
      Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
    • Work-Life Balance:
      Hybrid work and flexible working hours, employee assistance programme;
    • Health:
      Global internal wellbeing programme, access to wellbeing apps;
    • Community:
      Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

    At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

    Seniority level

    • Seniority level

      Mid-Senior level

    Employment type

    • Employment type

      Full-time

    Job function

    • Job function

      Engineering and Information Technology

    • Industries

      IT Services and IT Consulting

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    Solution Architect – Data Focus employer: Endava

    At Endava, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys competitive salaries, extensive career development opportunities, and a commitment to work-life balance through hybrid working arrangements. With a focus on inclusivity and personal growth, we empower our employees to thrive in their careers while contributing to meaningful projects that drive technological change.
    E

    Contact Detail:

    Endava Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Solution Architect – Data Focus

    Tip Number 1

    Familiarise yourself with the latest big data technologies like Hadoop and Spark, as well as cloud platforms such as AWS, Azure, or GCP. Being able to discuss these technologies confidently during interviews will demonstrate your expertise and readiness for the role.

    Tip Number 2

    Network with professionals in the data architecture field, especially those who work at Endava or similar companies. Attend industry meetups or webinars to make connections and gain insights into what they look for in candidates.

    Tip Number 3

    Prepare to showcase your problem-solving skills by discussing past projects where you successfully managed complex data requirements. Use specific examples that highlight your ability to lead architecture work and collaborate with cross-functional teams.

    Tip Number 4

    Stay updated on data governance and compliance practices, particularly GDPR. Being knowledgeable about these regulations will not only help you in interviews but also show that you understand the importance of data security in architecture.

    We think you need these skills to ace Solution Architect – Data Focus

    Data Architecture Principles
    Big Data Technologies (e.g., Hadoop, Spark)
    Cloud Platforms (AWS, Azure, GCP)
    Data Modelling
    SQL/NoSQL Databases
    ETL Processes
    Data Integration Techniques
    Python or Java Programming
    Data Visualisation Tools
    Data Governance and Compliance (e.g., GDPR)
    Analytical Skills
    Problem-Solving Skills
    Communication Skills
    Interpersonal Abilities
    Team-Oriented Mindset
    Technical Design and Development Oversight
    Architectural Assurance and Quality Control

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights your experience in data architecture and solution design. Focus on relevant projects where you've implemented large-scale data solutions, and emphasise your technical expertise with big data technologies and cloud platforms.

    Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Solution Architect – Data Focus. Mention specific experiences that demonstrate your ability to lead architecture work and your understanding of data governance and compliance practices.

    Showcase Technical Skills: Clearly outline your technical skills related to data management, programming languages like Python or Java, and familiarity with data visualisation tools. Use specific examples to illustrate how you've applied these skills in past roles.

    Highlight Soft Skills: Don't forget to mention your soft skills! Communication, problem-solving, and teamwork are crucial for this role. Provide examples of how you've successfully collaborated with cross-functional teams to deliver data-driven solutions.

    How to prepare for a job interview at Endava

    Showcase Your Technical Expertise

    As a Solution Architect with a data focus, it's crucial to demonstrate your deep knowledge of data architecture principles and big data technologies. Be prepared to discuss specific projects where you've implemented complex data solutions, highlighting your experience with tools like Hadoop, Spark, and cloud platforms such as AWS or Azure.

    Prepare for Scenario-Based Questions

    Expect scenario-based questions that assess your problem-solving skills and ability to design data-heavy systems. Practice articulating your thought process when faced with challenges related to data flows, storage, and security, ensuring you can explain how you would approach these issues in a real-world context.

    Emphasise Collaboration Skills

    Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you've influenced project outcomes through effective communication and teamwork, particularly in client-facing situations or during architectural reviews.

    Understand Data Governance and Compliance

    Given the importance of data governance and compliance in this position, brush up on relevant laws and best practices, especially GDPR. Be prepared to discuss how you've ensured compliance in previous roles and how you would approach data governance in future projects.

    Solution Architect – Data Focus
    Endava
    E
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