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- Tasks: Lead technical solutions for partners using Databricks to solve complex data challenges.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Enjoy competitive perks, including comprehensive benefits and a commitment to diversity.
- Why this job: Make a real impact by transforming how businesses leverage data and AI.
- Qualifications: 7+ years in field engineering or solution architecture with strong Databricks expertise.
- Other info: Collaborative environment with opportunities for continuous learning and growth.
The predicted salary is between 48000 - 72000 £ per year.
At Databricks, our core principles 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 will 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. Join us in our quest to change how people work with data and make a better world!
As a Field Engineer specializing in Databricks Strategic Built on Partners, you will be the technical expert supporting strategic partners who build their B2B, customer-facing products on the Databricks platform. You will play a central role in solution architecture, enablement, evaluation, and collaborative innovation, helping partners design, deploy, and optimize robust and scalable data and AI-powered solutions, powered by Databricks.
Key Responsibilities- Partner Technical Leadership: Serve as the technical authority for prospective and current Built on strategic partners building products and solutions on Databricks.
- Well-Architected Framework: Develop and continuously optimize a framework of best practices and guidelines for building and operating reliable, secure, efficient, and cost-effective workloads on Databricks.
- Solution Architecture: Guide partners through solution design and integration, delivering architecture best practices for data engineering, data science, and AI workloads.
- Enablement & Workshops: Deliver technical enablement, training, and workshops to upskill partner technical teams on Databricks’ capabilities and advanced features.
- Proof of Concept Execution: Lead and support POCs and pilots, addressing technical challenges and highlighting the value of Databricks in the Built on partner solution context.
- Technical Escalation Management: Provide direct technical support as an escalation point for deployment, integration, and performance issues.
- Relationship Management: Build strong, trust-based relationships with partner engineering teams and collaborate closely with Databricks’ internal Product, Field Engineering, and Sales teams.
- Thought Leadership: Represent Databricks in strategic partner meetings and events. Advocate for the needs of Built on partners internally to influence the Databricks product roadmap.
- Best Practice Development: Develop and share reusable frameworks, guides, and reference architectures for partner enablement.
- Continuous Learning: Stay up-to-date with new data and AI trends, platform features, and industry best practices to ensure partners benefit from cutting-edge capabilities.
- Minimum 7 years’ experience in field engineering, solution architecture, or partner-facing technical roles in the cloud, data, or AI/ML domains.
- Deep hands-on expertise with Databricks, Spark, and related data/AI platforms.
- Proven capability in designing and delivering large-scale data and AI architectures for partners or enterprise customers.
- Strong proficiency in cloud-native architectures (Azure, AWS, GCP), Python and/or Scala, and orchestration frameworks.
- Demonstrated experience managing technical relationships and projects in a partner ecosystem.
- Excellent communication, presentation, and consultative skills.
- Experience conducting technical workshops and enablement sessions.
- Ability to lead and resolve complex technical challenges in fast-paced, ambiguous environments.
- Experience with building or supporting ISV solutions, SaaS platforms, or integration ecosystems.
- Working knowledge of ML/AI frameworks, data governance, security, and compliance in cloud environments.
- Previous experience driving go-to-market initiatives with strategic partners.
- Open-source contributions or community engagement in data and AI technologies.
- Strategic and technical acumen
- Relationship-building skills
- Execution-focused mindset
- Commitment to learning and innovation
- Team player with a collaborative approach
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 https://www.mybenefitsnow.com/databricks.
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.
Lead Specialist Solutions Architect - Built on Partners in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Specialist Solutions Architect - Built on Partners in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Databricks on LinkedIn or attend industry events. Building connections can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by understanding Databricks' culture and values. Familiarise yourself with their Data Intelligence Platform and think of examples from your experience that align with their mission.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled complex technical challenges in the past, especially in cloud, data, or AI/ML environments.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on their radar!
We think you need these skills to ace Lead Specialist Solutions Architect - Built on Partners 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 and AI platforms, especially Databricks. We want to see how your skills align with the role, so don’t hold back on showcasing your technical expertise!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex technical challenges in previous roles. We love seeing candidates who can think on their feet and come up with innovative solutions, so let us know how you’ve made an impact!
Highlight Collaboration Experience: Since this role involves working closely with partners and internal teams, be sure to mention any past experiences where you’ve successfully built relationships and collaborated on projects. We value teamwork and want to know how you contribute to a positive team dynamic.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s super easy, and it helps us keep track of all applications efficiently. Plus, you’ll get to see more about what we do at Databricks!
How to prepare for a job interview at Databricks
✨Know Your Databricks Inside Out
Make sure you have a solid understanding of Databricks and its features. Brush up on your knowledge of Spark, cloud-native architectures, and how to design scalable data solutions. Being able to discuss specific use cases and your hands-on experience will show that you're not just familiar with the platform but can also leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex technical challenges you've faced in previous roles and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to lead and manage technical escalations, which is crucial for the role.
✨Build Relationships Before the Interview
If possible, connect with current or former employees on LinkedIn to gain insights about the company culture and expectations. This can help you tailor your responses during the interview and show that you’re genuinely interested in building strong relationships, which is key for this position.
✨Prepare for Technical Workshops
Since you'll be delivering enablement sessions, think about how you would approach teaching others about Databricks' capabilities. Prepare a mini-presentation or outline on a relevant topic. This will not only showcase your expertise but also your ability to communicate complex ideas clearly.
