Solution Architect - Data
Solution Architect - Data

Solution Architect - Data

Reading Full-Time 36000 - 60000 £ / year (est.) No home office possible
Keyloop

At a Glance

  • Tasks: Lead the design of innovative data architecture and empower a data-driven culture.
  • Company: Join Keyloop, a tech leader transforming the automotive industry.
  • Benefits: Competitive pay, inclusive culture, and opportunities for personal growth.
  • Why this job: Shape the future of data in a dynamic environment with cutting-edge technology.
  • Qualifications: Experience in data architecture and a passion for innovation.
  • Other info: No formal qualifications required; we value experience and potential.

The predicted salary is between 36000 - 60000 £ 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, providing 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 & Qualifications

  • Extensive experience architecting enterprise data solutions and designing scalable data platforms.
  • Proven expertise in data modeling (conceptual, logical, physical), metadata management, and master data management (MDM).
  • Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi).
  • Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms.
  • Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery).
  • Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices.
  • Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001).
  • Excellent communication and stakeholder management 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

Keyloop is an exceptional employer that champions innovation and collaboration, providing a dynamic work environment in Newbury, England. With a strong commitment to employee growth, we offer extensive training opportunities and a culture that values diversity and inclusion, ensuring every team member can thrive. Join us to be part of a forward-thinking company that rewards performance and fosters a supportive atmosphere for career advancement.
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 the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching Keyloop and understanding their data architecture needs. Be ready to discuss how your skills align with their goals and how you can contribute to their mission of digital transformation.

✨Tip Number 3

Showcase your expertise! Bring examples of your previous work, especially projects that involved data governance or architecture. This will help you stand out and demonstrate your hands-on experience.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Keyloop team.

We think you need these skills to ace Solution Architect - Data

Data Architecture
Data Governance
Data Modelling
Data Integration
ETL/ELT Pipelines
SQL
Cloud Data Platforms
Data Warehousing
Data Lakes/Lakehouses
Data Privacy Compliance
Stakeholder Management
Technical Leadership
Data Quality Frameworks
Business Intelligence Tools
Communication Skills

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 tools you've used. 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 your hands-on experience with SQL, cloud platforms like Snowflake or Azure, and any data integration tools you’ve worked with. This is your chance to shine and show us you're the right fit!

Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain complex data concepts. Remember, we value excellent communication skills, so make sure your application reflects that!

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 genuinely interested in joining our team at Keyloop!

How to prepare for a job interview at Keyloop

✨Know Your Data Architecture

Make sure you brush up on the latest trends in data architecture, especially around data lakes, lakehouses, and real-time streaming. Be ready to discuss how these concepts can be applied at Keyloop and how they align with their enterprise data strategy.

✨Showcase Your Technical Skills

Prepare to demonstrate your hands-on experience with SQL and cloud data platforms like Snowflake or Azure. Bring examples of past projects where you’ve designed data models or implemented data governance frameworks to showcase your expertise.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. Keyloop values excellent communication skills, so be prepared to translate technical jargon into business-friendly language during your interview.

✨Be a Team Player

Highlight your collaborative experiences with data engineers, analysts, and business stakeholders. Discuss how you’ve worked together to define data needs and drive implementation, as teamwork is crucial for success in this role.

Solution Architect - Data
Keyloop
Location: Reading

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