At a Glance
- Tasks: Lead the design and implementation of a new data platform and champion modern data standards.
- Company: Join a forward-thinking financial services company building a new team from scratch.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
- Why this job: Shape the future of data architecture and drive transformational change in a dynamic environment.
- Qualifications: Proven experience in data architecture and leadership in regulated environments.
The predicted salary is between 72000 - 88000 £ per year.
Are you a highly experienced Data Architect Lead ?
Do you have experience delivering complex data services in a regulated environment, ideally within Financial Services ?
Would you like to be part of a new team that is being built from the ground up ?
We’re looking for a Data Architect Lead to spearhead the data architecture domain and deliver transformational change.
You’ll lead the design and implementation of a new data platform, champion modern data standards, and drive adoption of emerging technologies like AI and ML.
This is a strategic leadership role where you’ll shape architecture practices, ensure compliance, and develop a high-performing team.
Its hybrid working from their Edinburgh, Glasgow, Newcastle, Reigate or London office (circa 2 days a week in the office)
Key Responsibilities
- Develop and maintain a strategic enterprise architecture plan.
- Design and evolve robust data architecture solutions aligned with business needs.
- Lead horizon scanning for emerging technologies and trends.
- Oversee application development and ensure security compliance.
- Manage data governance and architecture standards across internal and third-party services.
- Drive performance management and development of your team.
Skills & Behaviours
- Strong strategic mindset with ability to manage complexity and ambiguity.
- Expertise in data architecture, IT data management, and business requirements analysis.
- Tech-savvy with a passion for innovation and continuous improvement.
- Collaborative leader who ensures accountability and optimizes processes.
Experience
- Proven track record in leading data architecture and delivering transformational change.
- Experience in regulated environments and architecture governance.
- Technical experience around the Microsoft stack including Azure
- #J-18808-Ljbffr
Data Architect Lead employer: Change Digital – Digital & Tech Recruitment
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in vibrant cities like Edinburgh, London, Manchester, Birmingham, or Leeds, this role not only provides a competitive salary but also the unique advantage of being part of a dynamic team that drives impactful data solutions.
Contact Details:
Change Digital – Digital & Tech Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect Lead
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We think you need these skills to ace Data Architect Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Change Digital – Digital & Tech Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Change Digital – Digital & Tech Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Change Digital – Digital & Tech Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Change Digital – Digital & Tech Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
