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For Companies At a Glance
- Tasks: Lead the design and optimisation of scalable data platforms using Databricks.
- Company: Join a high-impact data team in London with a focus on innovation.
- Benefits: Competitive salary, career growth, and exposure to advanced analytics and AI projects.
- Why this job: Make a real impact by leading large-scale data transformation initiatives.
- Qualifications: 10-15 years in data engineering, with 5+ years in Databricks architecture.
- Other info: Collaborative environment with opportunities for professional development.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK
Work Mode: Onsite
Experience: 10–15 Years (minimum 5+ years in Databricks)
Employment Type: Full-time
About the Role
We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights.
Key Responsibilities
- Architecture & Solution Design
- Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks.
- Define and enforce best practices, security standards, and performance optimization across Databricks workloads.
- Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow.
- Lead cloud architecture design on Azure/AWS/GCP (based on organization need) integrated with Databricks.
- Data Engineering & Platform Build
- Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta.
- Oversee data quality frameworks, metadata management, lineage, and monitoring.
- Leadership & Stakeholder Engagement
- Work closely with business leaders and product teams to translate requirements into robust technical solutions.
- Guide development teams, perform architecture reviews, and ensure platform engineering excellence.
- Conduct technical workshops, POCs, and roadmap planning for the Databricks environment.
- Performance, Security & Governance
- Optimize Databricks clusters, query performance, and cost management.
- Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO).
- Ensure resilience, scalability, and disaster recovery readiness.
Required Skills & Qualifications
- 10–15 years overall experience in data engineering or data architecture.
- 5+ years of hands-on architecture experience specifically in Databricks.
- Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems.
- Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms.
- Cloud expertise in Azure / AWS / GCP (Azure preferred for many UK clients).
- Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps.
- Proven experience leading teams and delivering enterprise-grade data solutions.
Preferred Qualifications
- Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect).
- Experience building ML solutions using MLflow or integrating with cloud ML services.
- Experience in BFSI, Retail, Telecom, or Healthcare data environments.
- Experience with real-time data processing (Kafka, EventHub, Kinesis).
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong problem-solving and solution-oriented mindset.
- Ability to lead in a fast-paced and dynamic environment.
- Collaborative, proactive, and able to provide strong technical direction.
Why Join Us?
- Work onsite with a high-impact, cutting-edge data team in London.
- Opportunity to lead large-scale data transformation initiatives.
- Exposure to enterprise data strategy, advanced analytics, and AI projects.
- Competitive compensation and career-growth opportunities.
Databricks Architect in Slough employer: Tredence Inc.
Contact Detail:
Tredence Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Architect in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and architecture space. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects, architecture designs, and any cool solutions you've built. This will give you an edge during interviews and help you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Databricks knowledge and big data concepts. Practice common interview questions and even do mock interviews with friends or mentors. Confidence is key, so make sure you're ready to impress!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight your experience with Databricks and how you can contribute to our cutting-edge projects.
We think you need these skills to ace Databricks Architect in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with Databricks, big data engineering, and cloud ecosystems. 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 this role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear connection to our mission.
Showcase Relevant Projects: Include specific projects or achievements that demonstrate your expertise in Databricks and data architecture. We’re keen to see real-world examples of your work and how you've tackled challenges in the past.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Tredence Inc.
✨Know Your Databricks Inside Out
Make sure you have a solid grasp of Databricks Lakehouse architecture and its components. Brush up on your knowledge of Delta Lake, ETL/ELT pipelines, and how to optimise performance. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Leadership Skills
As a Databricks Architect, you'll need to lead teams and engage with stakeholders. Prepare examples from your past experiences where you've successfully guided teams or translated complex requirements into technical solutions. This will demonstrate your ability to lead in a fast-paced environment.
✨Prepare for Technical Questions
Expect in-depth technical questions about big data engineering, cloud ecosystems, and data governance frameworks. Practise explaining your thought process when designing scalable architectures and optimising data systems. This will help you articulate your expertise clearly during the interview.
✨Understand the Business Context
Familiarise yourself with the industry the company operates in, whether it's BFSI, Retail, Telecom, or Healthcare. Be ready to discuss how your technical skills can drive business outcomes and support analytics, AI/ML, and real-time insights. This shows that you can bridge the gap between technology and business needs.