At a Glance
- Tasks: Lead the design of innovative data architecture and drive data strategy for Keyloop.
- Company: Join Keyloop, a forward-thinking tech company transforming the automotive industry.
- Benefits: Competitive pay, inclusive culture, and opportunities for personal and professional growth.
- Why this job: Be a key player in shaping the future of data-driven solutions in a dynamic environment.
- Qualifications: Experience in data architecture and a passion for technology; certifications are a plus.
- Other info: No formal qualifications required; we value experience and potential over credentials.
The predicted salary is between 43200 - 72000 £ per year.
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation by creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience.
Role Summary
As a Data Architect, you’ll be a critical leader in defining and delivering Keyloop’s enterprise data strategy. You will guide architecture decisions, ensure best-in-class data governance, and provide the technical blueprint that empowers the organization to become truly data-driven.
Main Duties/Responsibilities
- Lead the design and evolution of Keyloop’s enterprise data architecture, ensuring alignment with business strategies and technology platforms.
- Define data principles, governance frameworks, and architectural standards for enterprise data, analytics, and integration platforms.
- Own the data strategy for structured and unstructured data across systems—including CRM, ERP, DMS, and customer-facing platforms.
- Design data models, data flow architectures, and system integrations to support analytics, operational reporting, AI/ML, and real-time decision-making.
- Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities.
- Drive implementation of modern data architecture patterns (e.g., data lakes, lakehouses, data mesh, real-time streaming).
- Establish data quality frameworks and lead data profiling, cleansing, and lineage tracking across systems.
- Work with Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards.
- Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI).
- Oversee data integration strategy across the enterprise—including ETL/ELT pipelines, APIs, and event-driven data streaming.
- Contribute to the development of a Data Center of Excellence (CoE) by sharing knowledge, reusable components, and data standards.
- Provide technical leadership on data-related projects and act as SME for enterprise data architecture.
- Advocate for data literacy and promote the value of data across business and technology teams.
- Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices.
- Maintain comprehensive architecture documentation for metadata, data lineage, and data governance.
Essential Skills
- Able to translate complex data concepts into business-friendly language.
- Ability to lead technical discussions and influence data-driven decision making across teams.
- Certifications such as Microsoft Certified: Azure Data Engineer Associate, Snowflake Architect, or CDMP are highly desirable.
Why join us?
We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.
An inclusive environment to thrive
We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.
Be rewarded for your efforts
We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.
Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.
Solution Architect - Data employer: Keyloop
Contact Detail:
Keyloop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - Data
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research Keyloop and understand their data architecture needs. Tailor your answers to show how your skills align with their goals.
✨Tip Number 3
Show off your projects! Bring examples of your past work to interviews. Whether it’s a data model you designed or a successful integration, real-life examples speak volumes.
✨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 take that extra step!
We think you need these skills to ace Solution Architect - Data
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solution Architect - Data role. Highlight your experience with data architecture, governance frameworks, and any relevant technologies like Snowflake or Azure. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific projects where you've led data strategy or implemented modern data architecture patterns. This is your chance to shine and show us you can translate complex data concepts into business-friendly language.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless necessary. We appreciate straightforward communication that gets right to the heart of your experience and qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're keen on joining our team at Keyloop!
How to prepare for a job interview at Keyloop
✨Know Your Data Architecture
Make sure you’re well-versed in the latest data architecture trends and technologies, especially those mentioned in the job description like data lakes and real-time streaming. Be ready to discuss how you've applied these concepts in previous roles.
✨Speak Their Language
Since the role involves translating complex data concepts into business-friendly language, practice explaining your past projects in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past, particularly in data governance or architecture. Highlight your ability to influence decision-making and mentor others, as this is crucial for the role.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in Keyloop’s mission and data strategy. Inquire about their current challenges in data integration or how they envision the future of their data architecture. This shows you're genuinely interested in contributing to their goals.