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- Tasks: Lead the design of innovative data architecture solutions for global clients.
- Company: Join a cutting-edge SaaS company transforming data management with AI-powered platforms.
- Benefits: Enjoy a hybrid work model, great work-life balance, and a supportive culture.
- Why this job: Be a thought leader in data architecture while influencing industry-specific solutions.
- Qualifications: Experience with data lakes, SQL, Python, and cloud-native platforms required.
- Other info: Opportunity to mentor and grow within a high-achieving team.
The predicted salary is between 72000 - 108000 £ per year.
We’re working with a cutting-edge SaaS business that’s revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing, AI-powered platform that’s driving digital transformation for global clients. The organisation is known for their incredible culture and has won multiple awards for their approach to high achieving professionalism balanced with a great work-life balance.
About the Role
We’re looking for a Principal Data Architect to join a highly skilled team focused on delivering next-gen, data-driven solutions across complex enterprise environments. This role is about improving the company’s Product internally, while also listening to and tailoring for clients. You’ll act as a platform superuser and thought leader, responsible for designing and delivering modular, reusable data architecture components that accelerate implementation and drive value for customers. This is a key opportunity to influence the development of industry-specific solutions for use by clients, implementation partners, and internal teams. You’ll work closely with product owners, platform architects, and client delivery teams to build scalable, industry-aligned offerings in sectors such as retail and consumer goods.
Responsibilities
- Collaborating with product and delivery teams to define scalable, reusable data architecture assets that align with industry-specific needs.
- Acting as a key platform advocate sharing best practices, collecting feedback, and ensuring continuous improvement in how solutions are built.
- Building a suite of pre-configured, modular components including workflows, data models, connectors, dashboards, and more to streamline customer deployments.
- Leading the technical enablement of platform users by creating clear documentation, templates, and training resources.
- Contributing to the platform roadmap with feature ideas that make solution development faster and more intuitive.
- Aligning architecture to core business use cases (such as order-to-cash) and ensuring that components meet real-world operational demands.
- Driving the adoption of advanced data practices including machine learning models, event-based processing, and clean data lineage.
- Providing guidance and oversight to engineers and analysts, supporting their growth and elevating team capability.
Requirements
- Hands-on experience designing and implementing data lakes, data warehouses, and complex data pipelines using modern tools and cloud-native platforms.
- An interactive, collaborative approach with a strong grasp of client delivery dynamics particularly within data-led transformation projects.
- A deep understanding of business process flows, especially in retail and consumer sectors, and how data supports operational outcomes.
- Strong coding ability with SQL and Python, as well as experience working with data orchestration tools like Airflow or Dataform.
- Commercial experience with Spark and Databricks.
- Familiarity with leading integration and data platforms such as Mulesoft, Talend, or Alteryx.
- A natural ability to mentor others and provide technical leadership across multi-functional teams.
- Exceptional communication skills with the confidence to engage technical and non-technical stakeholders alike.
- A creative, solutions-driven mindset with a passion for getting the most out of emerging technologies.
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.
Principal Data Architect employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Architect
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience in SaaS and cloud-native platforms. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your hands-on experience by discussing specific projects where you've designed and implemented data lakes or complex data pipelines. Be prepared to explain your approach and the impact it had on the business outcomes.
✨Tip Number 3
Familiarise yourself with the company's product and its unique features. Understanding how their AI-powered platform works will allow you to speak knowledgeably about how you can contribute to its development and improvement.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've supported the growth of others in your team. Highlighting your leadership skills will demonstrate your ability to elevate team capability, which is crucial for this role.
We think you need these skills to ace Principal Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, particularly with data lakes, warehouses, and pipelines. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven solutions and how your experience aligns with the company's mission. Mention specific projects where you've successfully implemented data architecture components.
Showcase Technical Skills: Clearly outline your technical skills, especially in SQL, Python, and any experience with tools like Airflow or Databricks. Provide examples of how you've used these skills in previous roles to drive results.
Highlight Collaboration Experience: Emphasise your collaborative approach by detailing experiences where you've worked with product teams or clients. Showcase your ability to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Expertise
As a Principal Data Architect, you'll need to demonstrate your hands-on experience with data lakes, warehouses, and pipelines. Be prepared to discuss specific projects where you've implemented these technologies, highlighting the tools you used and the outcomes achieved.
✨Understand the Business Context
Familiarise yourself with the retail and consumer goods sectors, as this role requires a deep understanding of how data supports operational outcomes. Be ready to discuss how your architectural decisions can align with business processes and drive value for clients.
✨Prepare for Collaborative Scenarios
This position involves working closely with product owners and delivery teams. Think of examples where you've successfully collaborated on projects, and be ready to explain how you advocate for best practices and continuous improvement in data architecture.
✨Demonstrate Leadership and Mentorship Skills
You'll be expected to guide engineers and analysts, so share experiences where you've provided technical leadership or mentorship. Highlight your ability to elevate team capabilities and foster a collaborative environment.
