At a Glance
- Tasks: Build strong client relationships and provide technical solutions in Data and AI.
- Company: Join Databricks, a leading data and AI company with a global impact.
- Benefits: Enjoy competitive perks, including comprehensive benefits and a commitment to diversity.
- Other info: Opportunity for travel and dynamic career growth in a collaborative environment.
- Why this job: Be at the forefront of Big Data Analytics and make a real difference.
- Qualifications: Experience in Data Science, Machine Learning, or Data Engineering is essential.
The Impact You Will Have
- Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‑ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how‑tos, and demo applications.
- Develop both technically and in pre‑sales, with the goal of becoming an independently operating Solutions Architect.
What We Look For
- Experience, technical customer‑facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
- You will be working in one or more of the following vertical sectors:
- Real‑money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
- Manufacturing, Energy, Utilities and Industrials.
- Travel, Transport and Logistics.
- Financial Services and Insurance.
- Public Sector.
- Consumer Package Goods (CPG) / Retail.
- Any experience in Pre‑sales or post‑sales experience working with external clients.
- Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‑of‑concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
- Experience diving deeper into solution architecture and design.
- The role requires travel to customer sites in the UK, travelling approx. 20-30% of the time.
- Nice to have: Databricks Certification.
Pre-sales Senior Technical Solutions Engineer (Data and AI) x2 employer: Databricks
Databricks is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to build meaningful relationships with clients while delivering cutting-edge data and AI solutions. With a strong commitment to diversity and inclusion, Databricks offers comprehensive benefits and ample opportunities for professional growth, making it an ideal place for those looking to advance their careers in the tech industry. The role of Pre-sales Senior Technical Solutions Engineer not only allows for hands-on engagement with clients but also provides the chance to become a trusted advisor in the rapidly evolving fields of Big Data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Pre-sales Senior Technical Solutions Engineer (Data and AI) x2
✨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 Databricks!
✨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 Pre-sales Senior Technical Solutions Engineer (Data and AI) x2 at Databricks.
✨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 Databricks.
✨Apply Directly through Our Website
When you find a suitable opening like Pre-sales Senior Technical Solutions Engineer (Data and AI) x2 at Databricks, 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 Pre-sales Senior Technical Solutions Engineer (Data and AI) x2
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 Databricks, 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 Databricks. 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 Databricks
✨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 Databricks!
✨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.
