Data Architect in Slough

Data Architect in Slough

Slough Full-Time 100000 - 120000 £ / year (est.) Home office (partial)
Peaple Talent

At a Glance

  • Tasks: Design and deliver enterprise-scale Fabric Lakehouse solutions for top UK organisations.
  • Company: Leading data consultancy investing in Data & AI practices.
  • Benefits: Remote work, competitive salary, and excellent learning opportunities.
  • Other info: Opportunity to work on cutting-edge projects with significant career growth.
  • Why this job: Shape client data strategies and drive innovation in advanced analytics.
  • Qualifications: Experience with Microsoft Fabric, Spark, SQL, and strong stakeholder management skills.

The predicted salary is between 100000 - 120000 £ per year.

Data Architect (Microsoft Fabric) | UK Remote/Hybrid | £100,000 - £120,000

Peaple Talent have partnered with a leading data consultancy that's continuing to invest heavily in its Data & AI practice and is looking to hire an experienced

Data Architect with strong MS Fabric expertise.

This is a fantastic opportunity to work with some of the UK's leading organisations, designing modern Lakehouse architectures that enable advanced analytics, AI and data-driven decision making.

What you'll be doing

  • Designing and delivering enterprise-scale
  • Fabric

Lakehouse solutions.

  • Leading architecture engagements and shaping client data strategies.
  • Working closely with senior stakeholders to define scalable, secure and high-performing data platforms.
  • Driving best practice across governance, security, CI/CD and cloud architecture.
  • Supporting pre-sales activities including solution design, workshops and Proof of Concepts.

What you'll bring

  • Proven experience designing enterprise data platforms using

Microsoft Fabric.

  • Strong knowledge of

Spark, Py Spark, Delta Lake, SQL and modern data engineering.

  • Expertise with
  • Microsoft Azure
  • Strong understanding of data modelling, governance and ETL pipelines.
  • Excellent stakeholder management and consultancy experience.

What's in it for you?

  • 📍Remote with travel to clients expected
  • 📈Great learning & development opportunities

Data Architect in Slough employer: Peaple Talent

Join a dynamic and innovative organisation in the UK that prioritises employee growth and development, offering a collaborative work culture where your contributions are valued. As an IP Engineering Lead, you will benefit from a supportive environment that encourages technical excellence and leadership, with ample opportunities to shape engineering standards and advance your career in the rapidly evolving field of network services.

Peaple Talent

Contact Details:

Peaple Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect in Slough

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Peaple Talent!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Peaple Talent.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Peaple Talent.

Apply Directly through Our Website

When you find a suitable opening like Data Architect at Peaple Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Architect in Slough

Microsoft Fabric
Lakehouse Architecture
Data Strategy Development
Stakeholder Management
Spark
PySpark
Delta Lake

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 Peaple Talent, 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 Peaple Talent. 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 Peaple Talent

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 Peaple Talent!

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.