At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leader in data science and analytics with a collaborative culture.
- Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
- Other info: Opportunity for travel and hands-on experience with cutting-edge technology.
- Why this job: Make a real impact by helping businesses leverage data for success.
- Qualifications: Experience in Data Engineering or Machine Learning, with strong customer engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer‑centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world‑class, cross‑functional team of Solutions Architects, Account Executives, and technology Specialists.
The impact you will have:
- Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.
- Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.
- Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
- Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd‑party applications, ensuring they are excited about the Databricks vision and solution strategy.
- Be a ’champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks’ technical community engagement by developing customer‑facing collateral and leading workshops, seminars, and meet‑ups.
Opportunity to continue your development in one of four tracks – technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
- Know how to engage in complex customer interactions and sales lifecycle in a technical pre‑sales capacity.
- A technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- Experience working with Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- A builder mindset, instinctively prototyping, creating demos, and crafting tailored solutions rather than relying only on slide decks.
- Ability to turn customer challenges into hands‑on proof points that accelerate confidence.
- A high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
- Ability to influence influential decision‑makers and C‑level executives through developing relationships and orchestrating teams to achieve long‑term success for customers.
- Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.
- Hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s) across AWS, Azure and Google.
- Ability to provide technical solutions for specialised customer needs and navigate a competitive landscape.
Nice to have: Databricks Certification. Up to 30‑40% travel to London offices and customer sites.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Senior Solutions Architect (Utilities) in London employer: Dormont Manufacturing Co
At Databricks, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions creativity, collaboration, and continuous improvement. Our London office provides a unique opportunity for professional growth, with tailored development tracks and the chance to engage with complex customer challenges in the utilities sector. We are committed to diversity and inclusion, ensuring that every employee can thrive while contributing to our mission of making data science accessible to all.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect (Utilities) in London
✨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 Dormont Manufacturing Co!
✨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 Senior Solutions Architect (Utilities) at Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Solutions Architect (Utilities) at Dormont Manufacturing Co, 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 Senior Solutions Architect (Utilities) in London
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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co!
✨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.