At a Glance
- Tasks: Engage with complex customers to help them achieve their data goals using our innovative platform.
- Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
- Benefits: Comprehensive benefits, remote work options, and opportunities for professional growth.
- Why this job: Be a champion for customers while working on cutting-edge data solutions in a collaborative environment.
- Qualifications: Technical background in Data Engineering or Machine Learning, with coding experience in Python or SQL.
- Other info: Enjoy autonomy and the chance to influence decision-makers across various industries.
The predicted salary is between 43200 - 72000 ÂŁ 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 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 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.
- 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 30% travel to London offices and customer sites.
About Databricks:
Databricks is the data and AI company. More than 10,000 organizations worldwide— including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500— rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Compliance:
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Presales Solutions Architect - EMC (Energy, Manufacturing and Communications) employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Presales Solutions Architect - EMC (Energy, Manufacturing and Communications)
✨Tip Number 1
Network like a pro! Reach out to current employees at Databricks on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by understanding Databricks' products inside out. Dive into their Data Intelligence Platform and think of ways it can solve real-world problems for customers. Show them you’re not just a candidate, but a potential champion for their solutions!
✨Tip Number 3
Practice your pitch! Be ready to explain how your technical background in Data Engineering or Machine Learning aligns with the role. Use examples from your past experiences to demonstrate your problem-solving skills and how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Databricks family!
We think you need these skills to ace Senior Presales Solutions Architect - EMC (Energy, Manufacturing and Communications)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Presales Solutions Architect role. Highlight your technical expertise in Data Engineering or Machine Learning, and show how your experience aligns with our mission at Databricks.
Showcase Your Customer Engagement Skills: We want to see how you’ve successfully engaged with complex customers in the past. Share specific examples of how you've influenced decision-makers and navigated challenging environments to achieve customer success.
Be Authentic: Let your personality shine through in your application. We value creativity and innovation, so don’t be afraid to express your unique approach to problem-solving and how you can contribute to our collaborative culture.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, your application will go straight to us, and we can get a better sense of who you are and what you bring to the table.
How to prepare for a job interview at Menlo Ventures
✨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 Data Intelligence Platform and how you can leverage them to solve customer challenges.
✨Understand the Customer
Research the specific customers you'll be engaging with. Understand their business goals, challenges, and how Databricks can help them achieve their objectives. This will show that you're not just technically savvy but also customer-focused.
✨Showcase Your Communication Skills
As a Senior Presales Solutions Architect, you'll need to influence decision-makers. Practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. Use examples from your past experiences to demonstrate your ability to communicate effectively.
✨Prepare for Scenario Questions
Expect to face scenario-based questions during the interview. Think about how you would approach various customer situations, such as handling objections or presenting a proof-of-concept. Prepare structured responses that highlight your problem-solving skills and adaptability.