At a Glance
- Tasks: Own the technical narrative and design tailored Databricks architectures across cloud platforms.
- Company: Colibri Digital, a forward-thinking company focused on data solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and drive exciting projects in data engineering and ML.
- Why this job: Shape innovative data solutions and make an impact in the tech industry.
- Qualifications: Experience with Databricks and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Colibri Digital seeks a Pre-sales Solutions Architect specializing in Databricks to own the technical narrative across the pipeline.
You will partner with Sales, Practice Leads, and Delivery to win Lakehouse, data engineering, ML, and Gen AI deals from first technical conversation to signed SOW.
You will design tailored Databricks architectures across AWS/Azure/GCP, run discovery, demos, POCs, and RFP responses, shaping proposals with value, TCO, and deliverability in mind.
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Databricks Pre‑Sales Solutions Architect (Remote) employer: Colibri Digital
Colibri Digital is an exceptional employer that fosters a vibrant work culture where innovation meets client success. With a focus on employee growth, we offer opportunities for professional development in the fast-evolving fields of data, AI, and digital transformation. Our competitive contract terms and collaborative environment empower you to lead impactful projects while enjoying the benefits of working in a dynamic, technology-driven setting.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Pre‑Sales Solutions Architect (Remote)
✨Get Involved in Data Science Meetups
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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 Colibri Digital.
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We think you need these skills to ace Databricks Pre‑Sales Solutions Architect (Remote)
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 Colibri Digital, 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 Colibri Digital. 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 Colibri Digital
✨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!
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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 Colibri Digital!
✨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.
