At a Glance
- Tasks: Lead data architecture projects and establish governance frameworks for data integration.
- Company: A forward-thinking talent agency in the UK focused on innovative data solutions.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Short-term project with potential for future opportunities in a dynamic environment.
- Why this job: Make a significant impact by shaping data strategies and ensuring compliance with GDPR.
- Qualifications: Experience in data architecture, strong documentation skills, and knowledge of GDPR standards.
The predicted salary is between 70000 - 90000 £ per year.
Talent in the United Kingdom is seeking an experienced Technical Data Architect to lead a crucial short term Discovery Phase. You will own end-to-end data and service mapping, evaluate Databricks integration versus standalone patterns, and establish governance, security, and assurance frameworks.
The role requires hands-on design leadership, strong C4 model documentation, ADRs, and a privacy-by-default approach aligned with GDPR and cyber security standards.
Discovery Phase Data Architect - Databricks & Governance in London employer: Talent
Join a forward-thinking government client as a Ruby on Rails Developer, where you will play a pivotal role in delivering impactful projects that enhance public services. Enjoy the flexibility of remote working while being part of a collaborative culture that values innovation and continuous improvement, alongside opportunities for professional growth and development in a supportive environment. With competitive daily rates and the chance to work on complex systems, this position offers a meaningful and rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Discovery Phase Data Architect - Databricks & Governance in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Talent before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Talent.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Talent.
We think you need these skills to ace Discovery Phase Data Architect - Databricks & Governance in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Talent, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Talent, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Talent’s attention and show the tangible impact of your work.
How to prepare for a job interview at Talent
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Talent.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Talent.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Talent.
