Data Architect (London)

Data Architect (London)

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement scalable data architectures on Azure and Databricks.
  • Company: Join Howden, a global team of 18,000 passionate individuals redefining insurance.
  • Benefits: Enjoy flexible working hours, hybrid options, and a supportive culture.
  • Why this job: Shape the future of data architecture while collaborating with like-minded innovators.
  • Qualifications: 5+ years in data architecture; expertise in Azure services and big data technologies required.
  • Other info: We value diversity and support reasonable adjustments for all employees.

The predicted salary is between 48000 - 72000 £ per year.

Who are we?

Howden is a collective – a group of talented and passionate people all around the world. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 18,000 employees spanning over 100 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

Job Title: Data Architect

Location: London/Hybrid
Job Type: Full-time

Job Summary

Are you passionate about designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management?

We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you!

Key Responsibilities

  1. Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads.

  2. Translate business requirements into high-level and low-level solution designs , ensuring alignment with best practices.

  3. Define and implement enterprise data governance, security, and compliance strategies.

  4. Lead the integration of core data management capabilities , including:

    1. Master Data Management (MDM) solutions for single-source-of-truth data

    2. Data catalogue tools for metadata management and discovery

    3. Data governance frameworks for policy enforcement, compliance, and lineage tracking

    4. Data quality solutions to ensure data accuracy, consistency, and reliability

  5. Provide architectural leadership on hub-and-spoke data architectures , optimising for performance, scalability, and security.

  6. Collaborate with business stakeholders, data engineers, and analytics teams to ensure solutions are fit for purpose.

  7. Implement and optimise Databricks Delta Lake, Medallion Architecture, and Lakehouse patterns for structured and semi-structured data.

  8. Ensure best practices in Azure networking, security, and federated data access .

Key Skills & Experience

  1. 5+ years of experience in data architecture, solution architecture, or cloud data engineering roles.

  2. Strong expertise in Azure data services , including:

    1. Azure Databricks (Delta Lake, Unity Catalog, MLflow)

    2. Azure Event Hub and Azure Data Explorer for real-time and streaming data pipelines

    3. Azure Storage (ADLS Gen2, Blob Storage) for scalable data lakes

    4. Azure Purview or equivalent for data governance and lineage tracking

  3. Experience with data integration, MDM, governance, and data quality tools .

  4. Hands-on experience with Apache Spark, Python, SQL, and Scala for data processing.

  5. Strong understanding of Azure networking, security, and IAM , including Azure Private Link, VNETs, Managed Identities, and RBAC .

  6. Deep knowledge of enterprise-scale data architecture patterns , including Lakehouse, Medallion Architecture, and hub-and-spoke models .

  7. Strong problem-solving skills and ability to design scalable, cost-optimised solutions .

  8. Excellent communication skills to engage with both technical and non-technical stakeholders.

Preferred Certifications (Nice to Have)

  1. Microsoft Certified: Azure Solutions Architect Expert

  2. Databricks Certified Data Engineer or Solution Architect

If you're excited about shaping the future of enterprise data architecture , we’d love to hear from you!

What do we offer in return?

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

  1. Our successes have all come from someone brave enough to try something new

  2. We support each other in the small everyday moments and the bigger challenges

  3. We are determined to make a positive difference at work and beyond

Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

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Data Architect (London) employer: Howden Group Holdings

At Howden, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a Data Architect in London, you'll benefit from a hybrid working model, competitive career progression opportunities, and a commitment to work/life balance, all while collaborating with a diverse team of passionate professionals dedicated to driving innovation in the insurance industry.
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Contact Detail:

Howden Group Holdings Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect (London)

✨Tip Number 1

Familiarise yourself with Azure and Databricks by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.

✨Tip Number 2

Network with professionals in the data architecture field, especially those who work with Azure technologies. Attend meetups, webinars, or online forums to connect with like-minded individuals and gain insights into industry trends and best practices.

✨Tip Number 3

Stay updated on the latest developments in data governance and compliance strategies. Understanding current regulations and how they apply to data management can set you apart as a candidate who is proactive and knowledgeable.

✨Tip Number 4

Prepare to discuss your problem-solving approach in detail. Be ready to share specific examples of how you've tackled complex data challenges in the past, as this will demonstrate your critical thinking and technical expertise to potential employers.

We think you need these skills to ace Data Architect (London)

Data Architecture
Azure Databricks
Cloud Data Engineering
Master Data Management (MDM)
Data Governance
Data Quality Solutions
Apache Spark
Python
SQL
Scala
Azure Event Hub
Azure Data Explorer
Azure Storage (ADLS Gen2, Blob Storage)
Azure Purview
Networking and Security in Azure
Identity and Access Management (IAM)
Lakehouse Architecture
Medallion Architecture
Hub-and-Spoke Models
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, particularly with Azure and Databricks. Use specific examples that demonstrate your ability to design scalable data solutions and integrate modern data platforms.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with Howden's needs. Mention your experience with enterprise data governance and your problem-solving abilities, as these are key aspects of the role.

Showcase Relevant Projects: If you have worked on projects involving Azure data services or big data technologies, be sure to include these in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your expertise.

Highlight Soft Skills: Howden values collaboration and communication. Make sure to highlight your ability to work with both technical and non-technical stakeholders, as well as your experience in leading teams or projects.

How to prepare for a job interview at Howden Group Holdings

✨Understand the Company Culture

Before your interview, take some time to research Howden's culture and values. They emphasise collaboration and a no-limits mindset, so be prepared to discuss how you align with these principles and how you can contribute to their team.

✨Showcase Your Technical Expertise

As a Data Architect, you'll need to demonstrate your strong expertise in Azure data services and big data technologies. Be ready to discuss specific projects where you've successfully implemented solutions using Azure Databricks, Apache Spark, or other relevant tools.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving skills. Prepare examples of complex data challenges you've encountered and how you approached them, particularly in designing scalable and cost-effective solutions.

✨Engage with Stakeholders

Since the role involves collaborating with both technical and non-technical stakeholders, practice articulating your ideas clearly. Be ready to explain technical concepts in layman's terms and demonstrate your ability to bridge the gap between different teams.

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