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- Tasks: Engage with complex customers to implement data solutions and drive their success.
- 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.
- Why this job: Be part of a creative team transforming data analytics and making a real-world impact.
- Qualifications: Technical background in Data Engineering or DWH, with coding skills in Python or SQL.
- Other info: Opportunity for up to 60% travel and professional development in various tracks.
The predicted salary is between 48000 - 84000 £ per year.
- FEQ426R107 (EMC (energy, manufacturing and comms))
Location: London, UK
Recruiter: Dina Hussain
Industry Sectors we have roles in:
- Financial Services – Insurance or Banking
- Retail/CPG
- EMC (energy, manufacturing and comms)
- Public Sector
- Across all vertical sectors
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.
- 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 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. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
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 .
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
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Senior Pre-sales Solutions Architect (DE or DWH) employer: Databricks
Contact Detail:
Databricks 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
Stay updated on the latest trends in data engineering, data warehousing, and machine learning. Being knowledgeable about current technologies and methodologies will position you as a credible candidate who can contribute to customer success.
✨Tip Number 4
Prepare to discuss your experience with complex customer interactions and how you've influenced decision-makers in previous roles. Highlighting these experiences will showcase your ability to thrive in a technical pre-sales environment.
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 in data engineering, data warehousing, or machine learning.
Highlight Technical Skills: Emphasise your technical background, especially in programming languages like Python or SQL, and any experience with cloud platforms such as AWS, Azure, or Google Cloud. Mention any Databricks certifications if you have them.
Showcase Customer Engagement Experience: Demonstrate your ability to engage with complex customers and influence decision-makers. Provide examples of past experiences where you've successfully navigated challenging customer environments and developed strong relationships.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data and analytics. Explain why you're excited about the opportunity at Databricks and how your skills align with their mission to change how people work with data.
How to prepare for a job interview at Databricks
✨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 for customers, and think about how your experience aligns with this vision.
✨Showcase Your Technical Expertise
Highlight your background in Data Engineering, Data Warehousing, or Machine Learning/AI during the interview. Be ready to discuss specific projects where you've applied these skills, especially in a pre-sales context.
✨Prepare for Customer Engagement Scenarios
Anticipate questions about how you would engage with complex customers and influence decision-makers. Think of examples from your past experiences where you've successfully navigated challenging customer environments.
✨Demonstrate Your Coding Skills
Since prior coding experience is essential, be prepared to discuss your proficiency in programming languages like Python or SQL. If you have experience with Spark, make sure to mention it, as it will strengthen your candidacy.
