At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leading Data and AI company transforming how businesses work with data.
- Benefits: Comprehensive benefits, professional development opportunities, and a culture of creativity and collaboration.
- Other info: Opportunity for travel and engagement with top-tier clients across various sectors.
- Why this job: Make a real impact by helping customers leverage data for their business success.
- Qualifications: Technical background in Data Engineering or Machine Learning, with coding experience in Python or SQL.
The predicted salary is between 63000 - 77000 £ per year.
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create 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 foster 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 customized 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.
You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.
Join us in our quest to change how people work with data and make a better world!
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.
- You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
- You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by 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 specialization, 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.
- You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background
- You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- You will enjoy 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.
- Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
- Nice to have: Databricks Certification
- Up to 60% travel to London offices and customer site
- About Databricks
Databricks is the Data and AI company.
More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
To learn more, follow Databricks on Linked In , X , You Tube , and Instagram .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region.
- Our Commitment to Diversity and Inclusion
- #J-18808-Ljbffr
Sr. Solutions Architect London, United Kingdom employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Solutions Architect London, United Kingdom
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We think you need these skills to ace Sr. Solutions Architect London, United Kingdom
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!
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How to prepare for a job interview at Databricks Inc.
✨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 Databricks Inc.!
✨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.
