At a Glance
- Tasks: Design and deliver innovative Databricks Lakehouse solutions for enterprise clients.
- Company: Fast-growing consultancy leading in Data and AI innovation.
- Benefits: Career progression, continuous learning, and a collaborative culture.
- Other info: High levels of autonomy and opportunities for certifications.
- Why this job: Shape enterprise data strategies and make a real impact across diverse industries.
- Qualifications: Experience with Databricks, Spark, and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
Alvarium Talent is partnering with a fast-growing, independent Data and AI consultancy that specialises in delivering cutting-edge analytics, cloud data platforms, and AI solutions to enterprise clients across multiple sectors. Due to continued growth and demand for Databricks expertise, we are hiring a Databricks Architect to lead the design and delivery of modern Lakehouse architectures.
Role Purpose
As a Databricks Architect, you will play a pivotal role in shaping and delivering scalable, enterprise-grade data architectures using the Databricks Lakehouse platform. Acting as both a trusted advisor and hands-on technical leader, you will work closely with clients to translate business requirements into robust, secure, and high-performing data solutions. You’ll contribute to both delivery and pre-sales, influencing data strategy while ensuring best practices in governance, performance, and cost optimisation are embedded from day one.
Core Responsibilities
- Architect and deliver Databricks Lakehouse solutions across ingestion, transformation, and analytics layers
- Design scalable data platforms supporting AI, ML, and business intelligence use cases
- Engage stakeholders to gather requirements and present architectural decisions
- Lead end-to-end solution delivery, ensuring quality, performance, and security standards
- Optimise Databricks environments for cost efficiency and scalability
- Implement data governance frameworks, including lineage, cataloguing (Unity Catalog/Purview), and security
- Develop and maintain CI/CD pipelines using Azure DevOps, GitHub, or similar tools
- Support pre-sales activities including RFP responses, solution design, and Proofs of Concept (PoCs)
- Advocate best practices and contribute to reusable architecture frameworks
Role Requirements
Essential
- Proven experience designing and delivering Databricks Lakehouse architectures at enterprise scale
- Strong hands-on expertise in Spark, PySpark, SQL, and Python or Scala
- Deep understanding of data modelling (Kimball, Data Vault, 3NF)
- Experience building ETL pipelines using Databricks workflows and Delta Live Tables
- Cloud platform experience (Azure preferred, AWS or GCP acceptable)
- Experience implementing data governance, security (RBAC/IAM), and compliance frameworks
- Exposure to BI tools such as Power BI or Tableau
- Strong stakeholder management and client-facing consulting experience
Desirable
- Experience with Unity Catalog or Microsoft Purview
- Knowledge of ML/AI capabilities within Databricks (MLflow, AutoML)
- Experience with Infrastructure as Code (Terraform, ARM templates)
- Strong understanding of DevOps and CI/CD practices
- Databricks certifications (Data Engineer, ML, Lakehouse, or GenAI)
Why Apply
- Work with a high-growth consultancy at the forefront of Data & AI innovation
- Deliver cutting-edge Databricks and Lakehouse solutions across diverse industries
- Opportunity to influence enterprise data strategies and transformation programmes
- Strong emphasis on career progression, certifications, and continuous learning
- Collaborative, people-first culture with high levels of autonomy and impact
Databricks Architect in England employer: Alvarium Talent
Join a dynamic and rapidly expanding consultancy that is at the forefront of Data and AI innovation, where as a Databricks Architect, you will have the opportunity to shape enterprise data strategies and deliver cutting-edge solutions across various industries. With a strong emphasis on career progression, continuous learning, and a collaborative, people-first culture, this role offers a unique chance to make a significant impact while enjoying high levels of autonomy in your work.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Architect in England
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Databricks Architect role.
✨Show Off Your Skills
Create a portfolio showcasing your Databricks projects and any cool solutions you've built. This is your chance to shine and demonstrate your hands-on expertise in Spark, PySpark, and data modelling.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to Databricks and data architecture. Be ready to discuss your experience with ETL pipelines and how you've optimised environments for cost efficiency.
✨Apply Through Our Website
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 are proactive about their job search.
We think you need these skills to ace Databricks Architect in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with Databricks Lakehouse architectures and any relevant projects you've worked on. 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 and AI, and how you can contribute to our team. Be sure to mention specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t forget to highlight your hands-on expertise in Spark, PySpark, SQL, and Python or Scala. We love seeing practical examples of how you've used these technologies in past roles, so include any relevant projects or achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Alvarium Talent
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Familiarise yourself with Lakehouse architectures, Spark, and the latest features of Databricks. Being able to discuss specific use cases and how you've implemented solutions in the past will show that you're not just a theoretical expert but also a practical one.
✨Showcase Your Stakeholder Engagement Skills
As a Databricks Architect, you'll need to engage with various stakeholders. Prepare examples of how you've gathered requirements and presented architectural decisions in previous roles. This will demonstrate your ability to communicate complex ideas clearly and effectively, which is crucial for this position.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, ETL pipelines, and cloud platforms. Brush up on your knowledge of Kimball, Data Vault, and Delta Live Tables. Practising these concepts will help you answer confidently and showcase your hands-on expertise.
✨Highlight Your Governance and Security Experience
Data governance and security are key aspects of the role. Be ready to discuss your experience with implementing frameworks like RBAC/IAM and how you've ensured compliance in past projects. This will show that you understand the importance of these elements in delivering robust data solutions.
