Technology Architect - Databricks

Technology Architect - Databricks

Temporary 80000 - 100000 € / year (est.) Home office (partial)
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 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

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks or in data engineering. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to Databricks and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common questions related to data architecture and Databricks. We recommend practising your answers with a friend or in front of a mirror to boost your confidence.

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 about their job search!

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

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 highlights your experience with Databricks and cloud platforms like Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your expertise can help us at N Consulting Ltd. Keep it concise but impactful.

Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just responsibilities. We love numbers and results, so if you’ve optimised a data platform or led a successful project, let us know!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

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 ready to discuss how you've used Databricks Lakehouse architecture, Delta Lake, and ML/AI workloads in past projects. Prepare specific examples that showcase your expertise and how you’ve driven best practices in data engineering.

Showcase Your Architectural Skills

Be prepared to talk about your experience in defining end-to-end architectural solutions. Think of a few scenarios where you evaluated and recommended architectural improvements or new tools. This will demonstrate your ability to guide engineering teams effectively.

Understand the Business Context

Since this role is with a bank, it’s crucial to understand the financial sector's data needs. Familiarise yourself with common challenges banks face regarding data governance and security. This knowledge will help you tailor your answers to show how you can add value to their specific context.

Prepare for Technical Questions

Expect technical questions around ETL/ELT pipelines, PySpark, and performance optimisation strategies. Brush up on your Spark SQL skills and be ready to discuss how you would architect scalable solutions. Practising coding problems related to these topics can give you an edge.