Enterprise Data Platform Architect & Strategy

Enterprise Data Platform Architect & Strategy

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
B

At a Glance

  • Tasks: Lead the design and strategy of our enterprise data platform for optimal performance.
  • Company: Join Baillie Gifford, a leading investment management firm in Edinburgh.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and excellence.
  • Why this job: Shape the future of data architecture and make a significant impact on our operations.
  • Qualifications: Proven experience in data architecture and strategic planning.

The predicted salary is between 72000 - 88000 £ per year.

Baillie Gifford in Edinburgh seeks a Principal Data Platform Architect to define and drive the strategic direction of the enterprise data platform, ensuring scalable, governed capabilities for ingestion, movement, transformation and monitoring.

You will set the vision, roadmap and architectural principles, collaborating with senior architects and data governance to align data platform strategy with firm priorities.

Enterprise Data Platform Architect & Strategy employer: Baillie Gifford

Baillie Gifford is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of digital assets and blockchain. With a strong commitment to employee growth, we provide ample opportunities for professional development and the chance to lead transformative projects in a supportive environment. Located in a vibrant city, our team enjoys a unique blend of flexibility and engagement, making it an ideal place for those seeking meaningful and rewarding careers.

B

Contact Details:

Baillie Gifford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise Data Platform Architect & Strategy

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 Baillie Gifford!

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 Enterprise Data Platform Architect & Strategy at Baillie Gifford.

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 Baillie Gifford.

Apply Directly through Our Website

When you find a suitable opening like Enterprise Data Platform Architect & Strategy at Baillie Gifford, 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 Enterprise Data Platform Architect & Strategy

Strategic Planning
Data Architecture
Data Governance
Scalability
Data Ingestion
Data Transformation
Data Movement

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 Baillie Gifford, 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 Baillie Gifford. 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 Baillie Gifford

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 Baillie Gifford!

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.