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 work with 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: Experience in Data Engineering or Machine Learning, with coding skills 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.
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.
- A technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- Experience working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- 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 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.
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) 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 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)
✨Tip Number 1
Get to know the company inside out! Research Databricks' culture, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their mission.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events where Databricks is present. Building relationships can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for those tricky technical questions! Brush up on your Data Engineering, DWH, and coding skills. Being able to demonstrate your expertise in Python or SQL during interviews will set you apart from the competition.
✨Tip Number 4
Don’t forget to showcase your problem-solving skills! Be ready to discuss how you've tackled complex customer challenges in the past. Use specific examples to illustrate your ability to influence decision-makers and drive success.
We think you need these skills to ace Senior Solutions Architect (Enterprise Accounts)
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 Technical Expertise:Don’t shy away from detailing your hands-on experience with cloud platforms like AWS, Azure, or Google. We love seeing candidates who can demonstrate their coding skills in Python or SQL, so make sure to include that!
Highlight Customer Engagement Skills:Since this role involves engaging with complex customers, share examples of how you've successfully navigated customer interactions in the past. We’re looking for those who can influence decision-makers and build strong relationships.
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’s super easy!
How to prepare for a job interview at Cacheflow
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Data Engineering, Data Warehousing, and Machine Learning. Be ready to discuss how you've used these skills in past projects and how they can apply to the Databricks platform.
✨Understand the Customer's Needs
Before the interview, research Databricks' major clients and their industries. Think about how you can tailor solutions to meet their specific challenges and goals. This will show that you're not just technically savvy but also customer-focused.
✨Prepare for Complex Scenarios
Expect to engage in discussions about complex customer interactions. Prepare examples from your experience where you've successfully navigated challenging situations or influenced decision-makers. This will demonstrate your ability to thrive in ambiguous environments.
✨Showcase Your Collaborative Spirit
Since you'll be working with cross-functional teams, be ready to share examples of how you've collaborated with others in the past. Highlight your experience in coaching peers and working alongside account teams to achieve shared goals.
