At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leader in data intelligence with a customer-centric culture.
- Benefits: Enjoy competitive salary, travel opportunities, and professional development tracks.
- Other info: Collaborative environment with opportunities for growth and influence at all levels.
- Why this job: Make a real impact by transforming how businesses work with data.
- Qualifications: Experience in Data Engineering or Machine Learning, with coding skills in Python or SQL.
The predicted salary is between 80000 - 100000 £ per year.
Location: London, UK
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 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 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.
- 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 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.
- A technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- Experience working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- 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.
Senior Solutions Architect (Enterprise Accounts) in London employer: Databricks
At Databricks, we pride ourselves on fostering a vibrant work culture that champions innovation and collaboration, making it an exceptional place for professionals seeking to make a meaningful impact in the data analytics space. Our London office offers a dynamic environment where employees are encouraged to grow through continuous learning opportunities and engagement with industry leaders, all while working on cutting-edge technology that transforms how businesses leverage data. Join us to be part of a mission-driven team that values creativity and customer success, ensuring your contributions lead to both personal and professional fulfilment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect (Enterprise Accounts) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, webinars, or even local tech events. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects and solutions. This is a great way to demonstrate your technical expertise and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for those interviews! Research Databricks and understand their Data Intelligence Platform inside out. Be ready to discuss how your experience aligns with their mission and how you can help their customers succeed.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to engage directly with us.
We think you need these skills to ace Senior Solutions Architect (Enterprise Accounts) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Solutions Architect role. Highlight your experience with data engineering, customer engagement, and any relevant technical skills that align with what we’re looking for.
Showcase Your Technical Expertise:Don’t shy away from flaunting your technical background! Whether it’s your coding skills in Python or SQL, or your hands-on experience with cloud platforms, let us know how you can bring value to our team.
Demonstrate Customer-Centric Mindset:Since we value a customer-centric approach, share examples of how you've successfully engaged with customers in the past. Show us how you’ve helped them solve complex challenges and achieve their goals.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Databricks!
How to prepare for a job interview at Databricks
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around Data Engineering, Data Warehousing, and Machine Learning. Be ready to discuss how these areas relate to the Databricks platform and how you can leverage them to solve complex customer challenges.
✨Understand the Customer's Needs
Before the interview, research Databricks' major clients and their industries. Think about how you can tailor your solutions to meet their specific needs. This will show that you're not just technically savvy but also customer-focused, which is key for this role.
✨Showcase Your Collaboration Skills
Since you'll be working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight your ability to influence stakeholders and work with diverse teams to achieve common goals.
✨Prepare for Scenario Questions
Expect to face scenario-based questions where you'll need to demonstrate your problem-solving skills. Think through potential customer challenges and how you would approach them using the Databricks platform. This will help you stand out as a proactive candidate.
