At a Glance
- Tasks: Help clients solve data challenges using our innovative 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: Join a creative team dedicated to transforming how businesses leverage data for impactful decisions.
- Qualifications: Experience in Data Engineering or Data Science, with coding skills in Python or SQL preferred.
- Other info: Opportunity to travel across the UK and engage with clients directly.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Pre-sales Solutions Architect (Data & AI – Retail/CPG) role at Databricks
1 day ago Be among the first 25 applicants
Join to apply for the Pre-sales Solutions Architect (Data & AI – Retail/CPG) role at Databricks
Recruiter: Dina Hussain
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\’ll 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. Join us in our quest to change how people work with data and make a better world!
JOB ID: FEQ326R371
Location: London, UK
Recruiter: Dina Hussain
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\’ll 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. Join us in our quest to change how people work with data and make a better world!
Reporting to the Manager, Field Engineering.
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. You will 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.
- You will work with customers within the enterprise space focused on the Consumer Package Goods (CPG) / Retail industry sector.
- 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).
- 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 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 — 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 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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Software Development
Referrals increase your chances of interviewing at Databricks by 2x
Sign in to set job alerts for “Presales Solutions Architect” roles.
London, England, United Kingdom 1 day ago
London, England, United Kingdom 3 weeks ago
Presales / Solution Consultant for Payments
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
Greater London, England, United Kingdom 4 weeks ago
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Hertfordshire, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 week ago
Solutions Architect (Contract £800-1000/day – Credit Card)
London, England, United Kingdom 2 weeks ago
Staines-Upon-Thames, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 days ago
Enterprise Deal Architect – Payment Solutions, APAC
Greater London, England, United Kingdom 1 day ago
Solutions Architect (Pre and Post Sales)
London, England, United Kingdom 1 week ago
Pre-sales Solutions Architect (Financial Services)
London, England, United Kingdom 1 day ago
London, England, United Kingdom 4 months ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
City Of London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 4 months ago
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Pre-sales Solutions Architect (Data & AI - Retail/CPG) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre-sales Solutions Architect (Data & AI - Retail/CPG)
✨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 the retail and CPG sectors. This can provide you with insights into the specific needs of customers in these industries and help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with big data analytics and any relevant projects you've worked on. Be ready to share examples of how you've successfully engaged clients and delivered technical solutions that meet their needs.
✨Tip Number 4
Stay updated on the latest trends in data science, AI, and machine learning, especially as they relate to the retail and CPG sectors. This knowledge will not only impress interviewers but also demonstrate your commitment to continuous improvement and innovation.
We think you need these skills to ace Pre-sales Solutions Architect (Data & AI - Retail/CPG)
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. 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 hands-on experience with Databricks or similar platforms, as this will be crucial for the role.
Showcase Customer Engagement Experience: Since the role involves building relationships with clients, include examples of how you've successfully engaged customers in previous roles. Highlight your ability to communicate technical concepts clearly and guide clients towards solutions.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data and AI, and how you align with Databricks' mission. Use specific examples from your past experiences to demonstrate your fit for the company culture and the role.
How to prepare for a job interview at Databricks
✨Understand Databricks' Core Values
Before your interview, make sure you understand the core values of Databricks. They focus on proactiveness and a customer-centric mindset. Be prepared to discuss how your personal values align with theirs and how you can contribute to their mission.
✨Showcase Your Technical Expertise
As a Pre-sales Solutions Architect, you'll need to demonstrate your technical knowledge in big data analytics and AI. Be ready to discuss your experience with relevant technologies, coding languages like Python and SQL, and any hands-on projects you've completed that relate to the role.
✨Prepare for Customer Engagement Scenarios
Since this role involves engaging with customers, think of examples where you've successfully built relationships or solved complex problems for clients. Prepare to discuss how you would approach technical sales and guide customers towards clear outcomes.
✨Familiarise Yourself with the Retail/CPG Sector
Given that the role focuses on the Consumer Package Goods (CPG) and Retail industry, do some research on current trends and challenges in these sectors. Being able to speak knowledgeably about industry-specific issues will impress your interviewers and show your commitment to the role.