Technology Architect - Databricks in London

Technology Architect - Databricks in London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
N Consulting Limited

At a Glance

  • Tasks: Design and lead innovative data platforms using Databricks and cloud technologies.
  • Company: N Consulting Ltd, a forward-thinking tech consultancy in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: 8-month contract with potential for career advancement in a collaborative environment.
  • Why this job: Join a dynamic team and shape the future of data engineering in a major bank.
  • Qualifications: 12+ years in data architecture with expertise in Databricks and cloud platforms.

The predicted salary is between 80000 - 100000 € per year.

Work mode: Hybrid

Number of days a week worked in the office: 3

Contract duration: 8 months

Location: London

End client: Bank

Technology Architect – Databricks with over 12 years of experience in designing and leading large scale data engineering, analytics, and cloud transformation initiatives.

The ideal candidate will have deep expertise in Databricks, big data architectures, cloud platforms (Azure), and modern data engineering frameworks.

This role will be responsible for defining end to end architectural solutions, driving best practices, and guiding engineering teams to deliver scalable, secure, and cost optimized data platforms.

  • Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads.
  • Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards.
  • Evaluate and recommend architectural improvements, new tools, and emerging technologies.
  • Develop reference architectures, solution blueprints, and best-practice playbooks for Databricks implementations.
  • Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, Delta Live Tables, and Databricks Workflows.
  • Implement performance optimization strategies for notebooks, clusters, job orchestration, and data storage.
  • Guide teams in building curated, governed data models leveraging Delta Lake Medallion Architecture (Bronze–Silver–Gold).

Technology Architect - Databricks in London employer: N Consulting Limited

N Consulting Ltd is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Technology Architect - Databricks role based in London. With a hybrid work model, employees enjoy flexibility while engaging in cutting-edge projects within the banking sector, offering ample opportunities for professional growth and development. The company prioritises employee well-being and provides access to the latest technologies, ensuring that team members can thrive in their careers while contributing to impactful data solutions.

N Consulting Limited

Contact Detail:

N Consulting Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Technology Architect - Databricks in London

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with Databricks or in data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to Databricks and cloud platforms. This is your chance to demonstrate your expertise in designing scalable data architectures and implementing best practices.

Tip Number 3

Prepare for interviews by brushing up on common questions related to data engineering and Databricks. We recommend practising your answers to technical scenarios, as well as being ready to discuss your past experiences in detail.

Tip Number 4

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 and engaged in their job search.

We think you need these skills to ace Technology Architect - Databricks in London

Databricks
Big Data Architectures
Cloud Platforms (Azure)
Data Engineering Frameworks
Data Ingestion
Data Transformation
Data Governance

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Technology Architect role. Highlight your experience with Databricks, big data architectures, and cloud platforms like Azure. 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 the perfect fit for this role. Share specific examples of your past projects that relate to the job description. We love seeing your passion and expertise come through!

Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with ETL/ELT pipelines, PySpark, and Delta Lake. We’re keen on candidates who can demonstrate their hands-on experience with these technologies.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy to do!

How to prepare for a job interview at N Consulting Limited

Know Your Databricks Inside Out

Make sure you brush up on your Databricks knowledge. Be prepared to discuss specific features like Delta Lake and Unity Catalog, and how you've used them in past projects. This will show that you not only understand the technology but can also apply it effectively.

Showcase Your Architectural Skills

Be ready to talk about your experience in designing end-to-end data platforms. Prepare examples of architectural solutions you've implemented, especially those involving big data architectures and cloud platforms like Azure. This will demonstrate your capability to lead large-scale initiatives.

Discuss Best Practices and Innovations

Think about the best practices you've established in previous roles and be ready to share them. Also, consider any new tools or technologies you've evaluated and how they could improve existing architectures. This shows you're proactive and forward-thinking.

Prepare for Technical Challenges

Expect some technical questions or case studies during the interview. Practice explaining how you would architect scalable ETL/ELT pipelines using PySpark or Spark SQL. Being able to articulate your thought process will impress the interviewers and showcase your problem-solving skills.