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For Companies At a Glance
- Tasks: Engage with clients, showcasing how our platform solves their data challenges.
- Company: Databricks is a leading data and AI company trusted by over 10,000 organisations globally.
- Benefits: Enjoy comprehensive perks, including flexible work options and a commitment to diversity.
- Why this job: Be part of a creative team transforming data usage and making a positive impact.
- Qualifications: Experience in data engineering or AI, coding skills, and a passion for tech solutions.
- Other info: Opportunity to travel across the UK and engage with innovative start-ups.
The predicted salary is between 48000 - 84000 £ 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 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 Databricks Data Intelligence Platform can help customers solve their complex data challenges. You will work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.
The Impact You Will Have:
- Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks.
- Develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
- Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers.
- Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What We Look For:
- Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science / AI / Machine Learning.
- Experience diving deeper into solution architecture and design.
- Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
- Develop customer relationships and build internal partnerships with account executives and teams.
- Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.
- Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s) - ideally AWS is desirable, not essential.
- Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.
- Nice to have: Databricks or Cloud Certification.
The candidate must be able to commute to London offices regularly and travel approximately 20-30% of the time across UK&I for customer visits.
About Databricks:
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
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.
Pre-sales Solutions Architect (Digital Native/Start-up) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre-sales Solutions Architect (Digital Native/Start-up)
✨Tip Number 1
Familiarise yourself with Databricks' Data Intelligence Platform. Understanding its features and capabilities will allow you to speak confidently about how it can solve customer challenges, which is crucial for a Pre-sales Solutions Architect role.
✨Tip Number 2
Network with current employees or industry professionals who have experience in presales or data analytics. Engaging in conversations can provide valuable insights into the company culture and expectations, helping you tailor your approach.
✨Tip Number 3
Prepare to demonstrate your technical skills during interviews. Be ready to discuss your experience with big data technologies and coding languages like Python and SQL, as well as any relevant projects you've worked on that showcase your problem-solving abilities.
✨Tip Number 4
Showcase your ability to build relationships by preparing examples of how you've successfully engaged with clients in the past. Highlighting your customer-centric mindset will resonate well with Databricks' core values.
We think you need these skills to ace Pre-sales Solutions Architect (Digital Native/Start-up)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Pre-sales Solutions Architect position at Databricks. Tailor your application to highlight relevant experience in data engineering, data warehousing, or AI.
Highlight Technical Skills: Emphasise your technical expertise in big data analytics and any experience with programming languages like Python or SQL. Mention any familiarity with cloud platforms, especially AWS, as this is desirable for the role.
Showcase Customer Engagement Experience: Demonstrate your ability to build relationships with clients and provide technical solutions. Include examples of how you've successfully engaged customers in technical sales or guided them through complex data challenges.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data and your alignment with Databricks' mission. Use this opportunity to express your enthusiasm for helping customers achieve their goals and how you can contribute to their success.
How to prepare for a job interview at Databricks
✨Understand Databricks' Core Values
Before the interview, make sure you familiarise yourself with Databricks' core values, especially their focus on proactiveness and a customer-centric mindset. This will help you align your answers with what they value most in their employees.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience in big data analytics, data engineering, and any relevant programming languages like Python or SQL. Highlight specific projects where you've successfully implemented solutions that align with the role's requirements.
✨Demonstrate Customer Engagement Skills
Since the role involves building relationships with clients, be ready to share examples of how you've engaged customers in technical discussions. Discuss how you’ve guided them towards clear outcomes and communicated complex technical concepts effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to design solutions. Think of past experiences where you had to adapt your approach based on different client needs or technical challenges.
