At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leading data and AI company transforming how businesses use data.
- Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
- Other info: Opportunity for travel and engagement with top-tier clients across various sectors.
- Why this job: Be a champion for customers while working with cutting-edge technology in a collaborative environment.
- Qualifications: Technical background in Data Engineering or Machine Learning, with coding experience in Python or SQL.
The predicted salary is between 80000 - 100000 £ 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 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.
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 click here.
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.
Senior Solutions Architect (Enterprise Accounts) in London employer: Cacheflow
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity, collaboration, and continuous improvement. Our London office provides employees with the opportunity to engage with complex customer challenges while benefiting from comprehensive development tracks and a commitment to diversity and inclusion. Join us to be part of a mission-driven team that values innovation and empowers you to make a meaningful impact in the world of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect (Enterprise Accounts) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, webinars, or even just grab a coffee with someone who works at Databricks. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your technical expertise and problem-solving abilities. When you get the chance to chat with recruiters or hiring managers, share how you've tackled complex data challenges in the past.
✨Tip Number 3
Be proactive! Don’t wait for job openings to be posted. Reach out directly to the team at Databricks through our website. Express your interest and let them know how you can contribute to their mission of making data science accessible.
✨Tip Number 4
Prepare for interviews by understanding Databricks' culture and values. Be ready to discuss how your experience aligns with their customer-centric mindset and how you can help clients achieve their goals using the Data Intelligence Platform.
We think you need these skills to ace Senior Solutions Architect (Enterprise Accounts) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, machine learning, or any relevant technical skills. We want to see how your background aligns with the role of a Senior Solutions Architect!
Showcase Your Customer Engagement Skills:In your application, emphasise your experience in engaging with complex customers and how you've influenced decision-makers in previous roles. We love candidates who can demonstrate a customer-centric mindset!
Highlight Technical Expertise:Don’t forget to mention your hands-on experience with programming languages like Python or SQL, and any familiarity with cloud platforms. We’re looking for someone who can dive deep into technical discussions with our clients.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Cacheflow
✨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 complex customer challenges.
✨Understand the Customer
Before the interview, research Databricks' major clients and their industries. Think about how you can tailor your solutions to meet their specific needs. This will show that you’re not just technically savvy but also customer-focused, which is key for this role.
✨Showcase Your Communication Skills
As a Senior Solutions Architect, you'll need to influence decision-makers. Practice articulating complex ideas in a simple way. Prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders in the past.
✨Prepare for Scenario Questions
Expect to face scenario-based questions where you’ll need to demonstrate your problem-solving skills. Think of past experiences where you’ve navigated ambiguous requirements or challenging environments, and be ready to explain your thought process and outcomes.
