At a Glance
- Tasks: Drive Data & AI growth by designing architectures and delivering workshops.
- Company: Leading tech consultancy in London with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Engage with diverse audiences and enjoy a dynamic work environment.
- Why this job: Be the technical authority and shape the future of Data & AI solutions.
- Qualifications: Experience in pre-sales and strong technical knowledge in data architecture.
The predicted salary is between 63000 - 77000 £ per year.
AGS, a leading technology consultancy in London, seeks a Databricks pre-sales consultant to drive Data & AI practice growth.
You will act as the technical authority across the sales lifecycle, partnering with BD teams and the Databricks field organisation to design architectures, run workshops and deliver Po Cs.
You will engage with audiences from engineers to C-level executives, develop reusable assets, stay current with Mosaic AI and Unity Catalog, and help shape go-to-market offerings.
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Databricks Pre-Sales Architect employer: AGS
Join a dynamic and innovative team in London as a Data Engineer, where you'll have the chance to shape the future of our data platform while enjoying a hybrid work model. We pride ourselves on fostering a collaborative work culture that encourages professional growth and offers opportunities to take ownership of impactful projects. With a focus on data governance and cutting-edge technologies like Databricks, this role not only promises meaningful work but also the chance to be part of a forward-thinking organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Pre-Sales Architect
✨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 AGS!
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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 AGS.
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We think you need these skills to ace Databricks Pre-Sales Architect
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 AGS, 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 AGS. 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 AGS
✨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 AGS!
✨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.
