At a Glance
- Tasks: Engage with complex customers to implement innovative data solutions and strategies.
- Company: Join Databricks, a leader in data science and analytics.
- Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
- Other info: Enjoy autonomy and travel opportunities while working in a dynamic environment.
- Why this job: Make a real impact by transforming how businesses work with data.
- Qualifications: Experience in Data Engineering or Machine Learning, with strong coding skills.
The predicted salary is between 80000 - 100000 £ per year.
At Databricks, our core values create a culture of proactiveness and a customer‑centric mindset guiding us to build a unified platform that makes data science and analytics accessible to everyone. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve 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!
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 third‑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.
- 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 in Machine Learning/AI.
- 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 (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.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees.
Our Commitment to Diversity and InclusionAt 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.
ComplianceIf 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: Databricks
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. 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 your expertise and empowers you to make a meaningful impact in the world of data analytics.
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' mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨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 Machine Learning skills. Being able to discuss your hands-on experience confidently will set you apart from other candidates.
✨Tip Number 4
Don’t forget to showcase your problem-solving skills! Be ready to share examples of how you've tackled complex challenges in the past. This will demonstrate your ability to thrive in ambiguous environments, just like the ones at Databricks.
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 for the Senior Solutions Architect role. Highlight your experience with data engineering, machine learning, and any relevant projects that showcase your technical expertise.
Showcase Your 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 want to see your ability to influence decision-makers and build strong relationships.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. Remember, we’re looking for clarity in communication, just like you’ll need in the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive, which is a key value for us at Databricks!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
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's Needs
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.
✨Prepare for Complex Scenarios
Expect to tackle hypothetical scenarios during the interview. Practice articulating how you would engage with C-level executives and influence decision-making. Use examples from your past experiences where you successfully navigated complex customer interactions.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with cross-functional teams, be prepared to discuss your experience in collaboration. Share examples of how you've worked with others to achieve a common goal, particularly in high-pressure situations or ambiguous environments.
