SaaS Data Platform Architect β€” Scale for 200+ Clients

SaaS Data Platform Architect β€” Scale for 200+ Clients

Full-Time 70000 - 90000 Β£ / year (est.) Home office (partial)
Trust In SODA

At a Glance

  • Tasks: Architect and scale data platforms for over 200 enterprise clients using Databricks and AWS.
  • Company: Join Trust In SODA, a leader in innovative data solutions.
  • Benefits: Enjoy a hybrid work environment with competitive salary and growth opportunities.
  • Other info: Be part of a collaborative culture focused on high availability and performance.
  • Why this job: Make a global impact while driving the product lifecycle in a dynamic team.
  • Qualifications: Strong experience in SaaS, Databricks, and AWS required.

The predicted salary is between 70000 - 90000 Β£ per year.

Trust In SODA is seeking a Principal Data Platform Engineer to architect and scale data platforms capable of serving over 200 enterprise clients. This role requires a SaaS mindset and strong experience with Databricks and AWS. You will drive the entire product lifecycle, ensuring high availability and performance while collaborating with a dynamic team. Join us to make a global impact in a hybrid work environment.

SaaS Data Platform Architect β€” Scale for 200+ Clients employer: Trust In SODA

At Trust In SODA, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work environment offers flexibility while providing ample opportunities for professional growth and development, ensuring that our employees can thrive as they architect cutting-edge data solutions for over 200 enterprise clients. Join us to be part of a team that values your contributions and empowers you to make a meaningful impact on a global scale.

Trust In SODA

Contact Details:

Trust In SODA Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land SaaS Data Platform Architect β€” Scale for 200+ Clients

✨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 Trust In SODA!

✨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 SaaS Data Platform Architect β€” Scale for 200+ Clients at Trust In SODA.

✨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 Trust In SODA.

✨Apply Directly through Our Website

When you find a suitable opening like SaaS Data Platform Architect β€” Scale for 200+ Clients at Trust In SODA, 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 SaaS Data Platform Architect β€” Scale for 200+ Clients

Data Platform Architecture
SaaS Mindset
Databricks
AWS
Product Lifecycle Management
High Availability
Performance Optimisation

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 Trust In SODA, 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 Trust In SODA. 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 Trust In SODA

✨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 Trust In SODA!

✨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.