At a Glance
- Tasks: Design cutting-edge data architecture for our next-gen data platform and collaborate on AI initiatives.
- Company: Join Quantios, a leader in innovative software solutions with a diverse and inclusive culture.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in data engineering and AI.
- Why this job: Make a real impact in the tech world by shaping data and AI ecosystems.
- Qualifications: 7+ years in data architecture, strong skills in SQL, Python, and cloud technologies.
The predicted salary is between 70000 - 90000 £ per year.
Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success.
As a Data Architect at Quantios, you will be responsible for designing the enterprise data architecture underpinning Quantios Insights, our next-generation data platform that unifies data from all Quantios products and powers analytics, regulatory insights, MCP automation, and AI-driven capabilities. You will define the architectural standards, models, integration patterns, and governance frameworks that ensure the platform is reliable, scalable, secure, and adaptable to diverse customer technology stacks.
This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into RAG pipelines, LLM evaluation frameworks, and strategic AI initiatives across the business. You will collaborate closely with Data Engineers, LLMOps Engineers, Product Owners, Portfolio Architects, and engineering teams to shape Quantios’ data and AI ecosystem.
Job Responsibilities:- Enterprise Data Architecture & Strategy
- Define the architectural vision, principles, and standards for Quantios’ enterprise data platform aligned to the business and product strategy.
- Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers.
- Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility.
- Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams.
- Data Modelling & Lakehouse Design
- Lead the design of domain-driven canonical data models for all Quantios products and cross-product datasets.
- Architect medallion/lakehouse models (bronze, silver, gold) using Fabric, Databricks, or Snowflake.
- Ensure semantic models, KPIs, and analytical structures (e.g., Power BI, Fabric semantic models) are consistent, scalable, and aligned with business requirements.
- Guide Data Engineers in applying architectural patterns and modelling best practices.
- Integration Architecture & Ingestion Patterns
- Design data ingestion frameworks for distributed Quantios products using batch, streaming, event-driven, or API-based patterns.
- Define common integration templates for customer and partner ecosystems.
- Support ingestion of structured, semi-structured, unstructured, and log/event telemetry.
- Ensure data flows are resilient, observable, and architected for reliability and cost efficiency.
- Governance, Security & Compliance
- Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards.
- Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform.
- Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements.
- Define patterns for sensitive data handling, encryption, and secure data access.
- AI & Advanced Analytics Enablement
- Architect dataset structures to support AI, including RAG pipelines, vector search, LLM training/evaluation sets, and semantic enrichment layers.
- Collaborate with LLMOps Engineers to ensure high-quality, well-structured data flows into embeddings pipelines and retrieval systems.
- Support MCP-based data access patterns by designing structured data interfaces and schemas tailored for agent use.
- Define patterns for unstructured data processing and preparation for AI workloads.
- Collaboration & Technical Leadership
- Work closely with Portfolio Architects to ensure alignment between product architecture, data architecture, and platform strategy.
- Collaborate with Product Owners to translate analytical and AI requirements into data architectural designs.
- Provide architectural oversight to Data Engineers, guiding implementation consistency and quality.
- Participate in technical reviews, solution assessments, and architectural governance forums.
- Customer & Partner Enablement
- Define customer deployment reference architectures for Fabric, Databricks, and Snowflake.
- Support customer discussions as a subject matter expert on analytics, AI architectures, and integration of Quantios data into client environments.
- Ensure that Quantios Insights can be deployed flexibly and securely in customer tenancies while maintaining architectural integrity.
- Continuous Improvement & Innovation
- Stay current with emerging trends in data engineering, AI data management, lakehouse technologies, governance, and observability.
- Evaluate new tools, patterns, and technologies that enhance the data and AI platform capabilities.
- Promote a culture of continuous improvement within the data engineering and broader architecture teams.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field; or equivalent experience.
- 7+ years of experience in data engineering, data architecture, or enterprise architecture roles.
- Strong expertise with Microsoft Fabric, Azure Databricks, Snowflake, and modern Lakehouse/data platform architectures.
- Deep experience designing ETL/ELT pipelines, medallion architectures, and semantic models.
- Strong proficiency in SQL, Python, and cloud-based data engineering tooling.
- Experience with metadata and governance tools (Purview, Unity Catalog, Snowflake Governance, Fabric Governance).
- Experience designing data platforms to support analytics, BI, operational reporting, and AI/ML workloads.
- Understanding of LLM/RAG data preparation, unstructured data processing, and vectorisation workflows is advantageous.
- Strong communication skills with the ability to collaborate with engineering, architecture, product, and customer teams.
- Ability to work across cloud environments and support multi-tenant enterprise customer requirements.
Data Architect (UK) Fleet, GB # employer: Quantios Management Services Ltd.
At Quantios, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions diversity, creativity, and collaboration. As a Data Architect in Fleet, you will not only have the opportunity to shape cutting-edge data solutions but also benefit from continuous learning and professional growth within a supportive environment. Our commitment to innovation and employee well-being ensures that you will thrive both personally and professionally while contributing to impactful projects in the trust administration and corporate services industry.
Contact Details:
Quantios Management Services Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (UK) Fleet, GB #
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Quantios. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process and how you tackle challenges. Remember, it’s not just about the right answer but how you approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Quantios team!
We think you need these skills to ace Data Architect (UK) Fleet, GB #
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role at Quantios. Highlight your experience with data architecture, ETL pipelines, and any relevant technologies like Microsoft Fabric or Snowflake. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your proficiency in SQL, Python, and any cloud-based tools you've used. We love seeing candidates who are up-to-date with the latest technologies and trends in data engineering!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Quantios Management Services Ltd.
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially as they relate to Microsoft Fabric, Azure Databricks, and Snowflake. Be ready to discuss your experience with designing ETL/ELT pipelines and medallion architectures, as this will show your technical depth and relevance to the role.
✨Showcase Your Collaboration Skills
Quantios values teamwork, so be prepared to share examples of how you've successfully collaborated with Data Engineers, Product Owners, and other stakeholders. Highlight specific projects where your communication and leadership made a difference in achieving project goals.
✨Demonstrate Your Problem-Solving Abilities
Think of scenarios where you faced challenges in data integration or governance and how you overcame them. Discussing your approach to ensuring data flows are resilient and architected for reliability will resonate well with the interviewers.
✨Stay Current with Industry Trends
Be ready to talk about the latest trends in data engineering and AI, particularly around lakehouse technologies and governance. Showing that you’re proactive about continuous improvement and innovation will align with Quantios’ commitment to fostering a creative and forward-thinking environment.
