Senior Data Architect

Senior Data Architect

Full-Time 57000 - 72000 £ / year (est.) No home office possible
Harvey Nash

At a Glance

  • Tasks: Lead the design of modern, secure, and scalable data solutions for complex client environments.
  • Company: A growing digital consultancy with a collaborative, people-first culture.
  • Benefits: Competitive salary, 25 days holiday, hybrid working, and tailored flexible benefits.
  • Other info: Clear progression pathways and strong investment in learning & development.
  • Why this job: Make a real impact by designing enterprise-level data architectures and driving innovation.
  • Qualifications: Proven experience in data architecture, cloud migrations, and strong data modelling skills.

The predicted salary is between 57000 - 72000 £ per year.

Harvey Nash are working with a growing digital consultancy looking to appoint an experienced Senior Data Architect to lead the design of modern, secure and scalable data solutions for complex client environments.

What we're looking for:

  • Proven experience defining enterprise-level data architectures for multiple stakeholders
  • Strong knowledge of data lakes and data warehousing (e.g. Snowflake, Databricks)
  • Experience with Azure, AWS or GCP and cloud data migrations
  • Excellent data modelling skills (ER models, datamarts, data dictionaries, ELT/ETL)
  • Strong understanding of data governance, security and role-based access control
  • Confident, client-facing communicator with a pragmatic delivery mindset

What you'll be doing:

  • Designing data architectures aligned to enterprise data and technical strategies
  • Creating and maintaining core architecture artefacts and data standards
  • Owning architectural decisions and rationale with senior stakeholders
  • Analysing data sources, APIs and legacy systems (including reverse-engineering models)
  • Supporting Agile delivery, engineering teams, integrations and testing

What's in it for you:

  • Collaborative, people-first culture within a growing Digital & Data Consultancy
  • Clear progression pathways and strong investment in learning & development
  • Hybrid Working - 2 days p/w onsite at your local office or client site. Current locations: Glasgow, Leeds, Manchester, Birmingham, Bristol or London.
  • 25 Days Holiday + UK Public Holidays
  • 6% Pension with employee contributions of 2%
  • Season ticket loans
  • Additional flexible benefits package tailored to suit your needs

Senior Data Architect employer: Harvey Nash

Join a dynamic digital consultancy that prioritises a collaborative, people-first culture, offering you the chance to lead innovative data architecture projects in a hybrid working environment. With clear progression pathways and a strong commitment to your professional development, you'll enjoy 25 days of holiday plus public holidays, a competitive pension scheme, and a flexible benefits package tailored to your needs, all while working from vibrant locations across the UK.
Harvey Nash

Contact Detail:

Harvey Nash Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Architect

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving data lakes and cloud migrations. We want to see your expertise in action, so make it easy for potential employers to see what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your client-facing communication skills. Practice explaining complex data concepts in simple terms. We know how important it is to connect with stakeholders, so let’s make sure you’re ready to impress!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Senior Data Architect

Enterprise-level Data Architecture
Data Lakes
Data Warehousing
Snowflake
Databricks
Azure
AWS
GCP
Cloud Data Migrations
Data Modelling
ER Models
Datamarts
Data Dictionaries
ELT
ETL
Data Governance
Security
Role-based Access Control
Client-facing Communication
Agile Delivery

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Architect. Highlight your experience with data lakes, cloud migrations, and any relevant projects that showcase your skills in data architecture.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've defined enterprise-level data architectures and your approach to client communication.

Showcase Your Technical Skills: Don’t forget to mention your expertise with tools like Snowflake, Databricks, and cloud platforms like Azure or AWS. We want to see your technical prowess shine through in your application!

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 this exciting opportunity!

How to prepare for a job interview at Harvey Nash

✨Know Your Data Architecture Inside Out

Make sure you’re well-versed in enterprise-level data architectures. Brush up on your knowledge of data lakes and warehousing solutions like Snowflake and Databricks, as these are likely to come up in conversation.

✨Showcase Your Cloud Expertise

Be prepared to discuss your experience with cloud platforms such as Azure, AWS, or GCP. Highlight any cloud data migrations you've managed, as this will demonstrate your hands-on experience and technical prowess.

✨Communicate Clearly and Confidently

As a Senior Data Architect, you'll need to interact with various stakeholders. Practice articulating complex concepts in a straightforward manner, showcasing your client-facing communication skills.

✨Prepare for Scenario-Based Questions

Expect questions that require you to analyse data sources or legacy systems. Think about past projects where you’ve had to reverse-engineer models or make architectural decisions, and be ready to share those experiences.

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