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For Companies At a Glance
- Tasks: Lead data architecture projects, ensuring designs meet performance and security standards.
- Company: Join Endava, a forward-thinking tech company dedicated to innovation and inclusivity.
- Benefits: Enjoy competitive salary, hybrid work options, career coaching, and wellness programmes.
- Why this job: Be part of a dynamic team shaping data solutions that drive real impact.
- Qualifications: 7+ years in data architecture; expertise in big data technologies and cloud platforms required.
- Other info: We value diverse backgrounds and perspectives, fostering an inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
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.
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Solution Architect - Data Focus (London) employer: Endava
Contact Detail:
Endava Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - Data Focus (London)
✨Tip Number 1
Familiarise yourself with the latest data architecture trends and technologies, especially big data tools like Hadoop and Spark. This knowledge will not only help you in interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data architecture space, particularly those who work at Endava or similar companies. Attend industry meetups or webinars to make connections and gain insights that could give you an edge during the application process.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully managed data flows, storage, and security in past projects. Being able to articulate your hands-on experience will showcase your expertise and problem-solving skills.
✨Tip Number 4
Research Endava's specific projects and clients to understand their data challenges and solutions. Tailoring your discussions around their work will show that you're genuinely interested in the role and can contribute effectively from day one.
We think you need these skills to ace Solution Architect - Data Focus (London)
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, showcasing your technical expertise in big data technologies and cloud platforms.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience with data flows, storage, and security. Discuss how your strategic thinking has contributed to successful data-heavy projects and how you can add value to the team at Endava.
Highlight Relevant Skills: Clearly outline your proficiency in data modelling, SQL/NoSQL databases, and ETL processes. Mention any relevant certifications, such as AWS or Azure Solutions Architect, to demonstrate your commitment to professional development.
Showcase Soft Skills: Don't forget to mention your soft skills! Highlight your analytical abilities, problem-solving skills, and teamwork mindset. 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
Be prepared to discuss your deep knowledge of data architecture principles and big data technologies. Highlight your experience with cloud platforms like AWS, Azure, or GCP, and be ready to provide examples of how you've implemented large-scale data solutions.
✨Demonstrate Problem-Solving Skills
During the interview, focus on your analytical and problem-solving abilities. Share specific instances where you successfully navigated complex data challenges, particularly in relation to data flows, storage, and compliance with regulations like GDPR.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to translate non-functional requirements into technical designs. Practice articulating your thought process and decision-making when shaping database schemas and data integration patterns.
✨Emphasise Team Collaboration
Since this role involves working closely with business analysts, engineers, and client teams, highlight your interpersonal skills and team-oriented mindset. Share examples of how you've coached or mentored others within architecture and data communities.
