Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the data architecture strategy and manage a high-performing team.
- Company: Join a trusted partner transitioning to a cloud-first data approach.
- Benefits: Enjoy a competitive salary, 40% bonus, hybrid work, and generous holiday.
- Why this job: Be pivotal in shaping data solutions during an exciting transformation period.
- Qualifications: Must have senior management experience in data architecture, preferably in Financial Services.
- Other info: Work from Chatham or Wolverhampton with occasional meetings in London.
The predicted salary is between 80000 - 120000 £ per year.
Head of Data Architecture Our trusted partner is hiring a Head of Data Architecture to lead the data architectural strategy as our client moves from legacy on-premise data into a cloud-first data approach. Our client is seeking a people manager with recent architecture capabilities to deliver new designs & changes to existing / new business data solutions leveraging tools such as Databricks, Datalakes, Synapse, and ER Studio with experience in Azure or AWS. Our client is offering a basic salary of £100,000 to £120,000 + 40% LTIP bonus + car allowance to be based in Chatham or Wolverhampton on a hybrid basis (some meetings can also be in London). This is an exciting/challenging opportunity. You will lead the data architecture function, set the architectural direction, and establish the enterprise data catalog during a pivotal period in our client\’s history. Role and Responsibilities: Define and maintain the target data architecture and road map (including the build-out of enterprise data platforms and increased use of cloud technologies) Work with senior stakeholders across our client to drive adoption of the target data architecture Establish data architecture frameworks, standards and patterns that ensure consistent wide storage, consumption, and distribution of data Lead the scoping, and initial pre-project design of candidate data projects Develop and own key data architecture outputs, including a catalog of authoritative sources, ensuring technical design documentation and appropriate design approval process is followed Recruit and lead a small but high-performing team of data architects and data analystsEssential experience Recent head of or senior management of a data architecture environment, preferably within Financial Services, is a must. Strong knowledge of data solutions and an ability to translate this into solutions for the broader business is essential Recent exposure to modern data architectures using Azure Databricks, Synapse, ER studio etc, is a must-have Domain experience in a regulated environment, insurance, finance, or energy is a must-have Strong understanding and experience of cloud data architectures in Azure or AWS is a must-haveBenefits Package: £120,000 circa salary / 40% LTIP Bonus / Car Allowance / Excellent Pension / Hybrid working / 30 Days Holiday / Medical Cover / Life CoverHead of Data Architecture
Head of Data Architecture employer: Intec Select Ltd
Contact Detail:
Intec Select Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Architecture
✨Tip Number 1
Make sure to showcase your leadership skills in data architecture. Highlight any experience you have in managing teams and driving architectural strategies, especially in a cloud-first environment.
✨Tip Number 2
Familiarize yourself with the specific tools mentioned in the job description, like Databricks and Synapse. Being able to discuss your hands-on experience with these technologies will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the financial services sector who have transitioned to cloud data architectures. This can provide you with insights and connections that may help you during the interview process.
✨Tip Number 4
Prepare to discuss how you've successfully implemented data architecture frameworks in previous roles. Be ready to share specific examples of how your contributions led to improved data management and business outcomes.
We think you need these skills to ace Head of Data Architecture
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Head of Data Architecture position. Understand the key responsibilities and required skills, especially focusing on cloud technologies like Azure and AWS.
Tailor Your CV: Customize your CV to highlight your experience in data architecture, particularly in financial services or regulated environments. Emphasize your recent management roles and familiarity with tools such as Databricks and Synapse.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership experience and your vision for data architecture. Mention specific projects where you successfully implemented cloud solutions and how you can contribute to the company's goals.
Highlight Relevant Experience: In your application, make sure to detail your experience with modern data architectures and your ability to lead teams. Use concrete examples to demonstrate your expertise in establishing data frameworks and driving adoption across organizations.
How to prepare for a job interview at Intec Select Ltd
✨Showcase Your Leadership Skills
As a Head of Data Architecture, you'll be leading a team. Be prepared to discuss your management style and how you've successfully led teams in the past, especially in data architecture environments.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with tools like Databricks, Datalakes, and Synapse. Be ready to discuss specific projects where you utilized these technologies and how they contributed to the success of the organization.
✨Understand the Business Context
Your ability to translate technical solutions into business value is crucial. Prepare examples of how your architectural decisions have positively impacted business outcomes, particularly in regulated environments like finance or insurance.
✨Prepare for Stakeholder Engagement
Since you'll be working with senior stakeholders, practice articulating your vision for the data architecture strategy clearly and concisely. Be ready to discuss how you would drive adoption of this strategy across the organization.
