Data Architect, UK in Brighton

Data Architect, UK in Brighton

Brighton Full-Time 60750 - 74250 £ / year (est.) Working from home possible
P

At a Glance

  • Tasks: Design and develop impactful Cloud-based data solutions with a focus on automation.
  • Company: Join Pythian, a global leader in data architecture and cloud solutions.
  • Benefits: Enjoy flexible remote work, competitive pay, wellness budgets, and professional development opportunities.
  • Other info: Dynamic work environment with excellent career growth and a supportive team culture.
  • Why this job: Make a real impact on enterprise data platforms while collaborating with top industry talent.
  • Qualifications: Experience in data architecture and cloud technologies is essential.

The predicted salary is between 60750 - 74250 £ per year.

As a Data Architect you work within a team of globally dispersed architects and consultants, to design and create impactful software powering enterprise data platform solutions mainly focused on Cloud Platforms. You will produce outcomes for real customer projects and help create software artifacts enabling automation of data platform implementations and data migrations.

What you will be doing:

  • Design and development of end-to-end Cloud-based solutions with a heavy focus on application and data, and a good understanding of infrastructure.
  • Working on complex and varied cloud-based projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
  • Translating complex functional and technical requirements into detailed designs.
  • Writing high-performance, reliable and maintainable code.
  • Develop test automation and associated tooling needed for the project.
  • Work with project leads to understand testing requirements and lead creating/execution of test automation.
  • Develop test scenarios and test cases based on requirements.
  • Analyze potential issues, perform root cause analysis and assign issues to be resolved.
  • Follow up with Engineering team members to see fixes through completion.
  • Review bug descriptions, functional requirements and design documents, incorporating this information into test plans and test cases.
  • Performing data processing requirements analysis.
  • Performance tuning for batch and real-time data processing.
  • Securing components of clients’ Cloud Data platforms.
  • Diagnostics and troubleshooting of operational issues.
  • Health-checks and configuration reviews.
  • Data pipelines development – ingestion, transformation, cleansing.
  • Data flow integration with external systems.
  • Integration with data access tools and products.
  • Foundational CI/CD for all infrastructure components, data pipelines, and custom data apps.
  • Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps.
  • Assisting client application developers and advising on efficient data access and manipulations.
  • Defining and implementing efficient operational processes.

What we need from you:

Describe the experience and attributes of the ideal candidate.

What you will receive:

  • Competitive total rewards package.
  • Flexibly work remotely from your home, there’s no daily travel requirement to an office!
  • Collaborate with some of the best and brightest in the industry!
  • Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
  • We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
  • You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more).
  • A generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.

Data Architect, UK in Brighton employer: Pythian

At Pythian, we pride ourselves on being an exceptional employer, offering a competitive total rewards package and a strong commitment to work/life balance with flexible remote working options. Our collaborative culture fosters professional growth through substantial training allowances and development opportunities, while our focus on employee well-being is reflected in our wellness budget and generous vacation policies. Join us to work alongside some of the brightest minds in the industry and make a meaningful impact on enterprise data solutions.

P

Contact Details:

Pythian Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect, UK in Brighton

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 Pythian!

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, UK at Pythian.

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 Pythian.

Apply Directly through Our Website

When you find a suitable opening like Data Architect, UK at Pythian, 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, UK in Brighton

Cloud-based Solutions Design
Data Architecture
Data Processing
Data Migration
Test Automation
Root Cause Analysis
Performance Tuning

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 Pythian, 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 Pythian. 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 Pythian

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 Pythian!

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.