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- Tasks: Engage with complex customers to demonstrate our Data Intelligence Platform and create tailored solutions.
- Company: Databricks is a leading data and AI company, trusted by over 10,000 organisations globally.
- Benefits: Enjoy comprehensive perks, including remote work options and a commitment to diversity and inclusion.
- Why this job: Be part of a collaborative team that values innovation and creativity while making a real impact.
- Qualifications: Technical background in Data Engineering or DWH, with coding experience in Python or SQL preferred.
- Other info: Opportunity for up to 60% travel and continued development in various professional tracks.
The predicted salary is between 43200 - 72000 £ 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.
- You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- 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 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.
Senior Pre-sales Solutions Architect (DE or DWH) employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pre-sales Solutions Architect (DE or DWH)
✨Tip Number 1
Familiarise yourself with Databricks' Data Intelligence Platform. Understanding its features and benefits will allow you to engage more effectively with potential customers and demonstrate how it can solve their data challenges.
✨Tip Number 2
Network with current employees or industry professionals who have experience in pre-sales solutions architecture. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your technical background in Data Engineering or Data Warehousing. Be ready to share specific examples of how you've successfully engaged with complex customer interactions in a pre-sales capacity.
✨Tip Number 4
Showcase your ability to influence decision-makers by preparing case studies or examples from your past experiences. Highlight how you’ve built relationships and orchestrated teams to achieve successful outcomes for customers.
We think you need these skills to ace Senior Pre-sales Solutions Architect (DE or DWH)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Pre-sales Solutions Architect position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Technical Expertise: Emphasise your technical background in Data Engineering, Data Warehousing, or Machine Learning/AI. Provide specific examples of how you've used these skills in previous roles, especially in a pre-sales capacity.
Showcase Customer Engagement Skills: Demonstrate your ability to engage with complex customers and influence decision-makers. Include examples of successful customer interactions and how you’ve helped clients achieve their goals using data solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your CV but also conveys your passion for data and analytics. Explain why you want to work at Databricks and how you can contribute to their mission of making data science accessible.
How to prepare for a job interview at Databricks Inc.
✨Understand the Databricks Vision
Familiarise yourself with Databricks' mission and core values. Be prepared to discuss how their Data Intelligence Platform can solve complex data challenges and how you can contribute to this vision.
✨Showcase Your Technical Expertise
Highlight your background in Data Engineering, Data Warehousing, or Machine Learning. Be ready to discuss specific projects where you've applied these skills, especially in a pre-sales context.
✨Prepare for Customer Engagement Scenarios
Think of examples where you've successfully engaged with complex customers. Be ready to explain your approach to developing customer engagement strategies and how you influenced decision-makers.
✨Demonstrate Your Coding Skills
Brush up on your coding knowledge, particularly in Python or SQL. Be prepared to discuss any hands-on experience you have with public cloud platforms like AWS, Azure, or Google, and your willingness to learn Spark.