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For Companies At a Glance
- Tasks: Lead technical support for partners using Databricks to build innovative B2B solutions.
- Company: Join a leading tech company at the forefront of data and AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be a key player in shaping cutting-edge data solutions and driving partner success.
- Qualifications: 7+ years in field engineering or solution architecture with expertise in Databricks.
- Other info: Dynamic role with continuous learning and collaboration in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Key Competencies
- Strategic and technical acumen
- Relationship-building skills
- Execution-focused mindset
- Commitment to learning and innovation
- Team player with a collaborative approach
Lead Specialist Solutions Architect - Built on Partners in London employer: Databricks, Inc.
Contact Detail:
Databricks, Inc. 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! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to data and AI. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks or similar platforms. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to solution architecture and partner enablement. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 for the Lead Specialist Solutions Architect role. Highlight your experience with Databricks and any relevant projects you've worked on that align with the job description. We want to see how you can bring your unique skills to our team!
Showcase Your Technical Expertise: Don’t hold back on showcasing your hands-on experience with Databricks, Spark, and cloud-native architectures. Use specific examples to demonstrate your ability to design and deliver large-scale data and AI architectures. This is your chance to shine, so let us know what you’ve got!
Highlight Relationship Management Skills: Since this role involves building strong relationships with partners, make sure to mention any relevant experience you have in managing technical relationships. Share stories that illustrate your consultative skills and how you’ve successfully collaborated with teams in the past.
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 us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Databricks, Inc.
✨Know Your Databricks Inside Out
Make sure you have a solid understanding of Databricks and its capabilities. Brush up on your knowledge of Spark, data engineering, and AI workloads. Be ready to discuss how you've used these technologies in past projects and how they can benefit potential partners.
✨Showcase Your Solution Architecture Skills
Prepare to talk about your experience in designing and delivering large-scale data and AI architectures. Have specific examples ready that demonstrate your ability to guide partners through solution design and integration, highlighting best practices you've developed.
✨Demonstrate Relationship Management Expertise
Think about times when you've built strong relationships with partner engineering teams. Be prepared to share how you’ve managed technical relationships and projects, and how you can leverage those skills to foster collaboration with Databricks' internal teams.
✨Be Ready for Technical Challenges
Expect to face some complex technical scenarios during the interview. Prepare by reviewing common challenges in deployment and integration, and think about how you would address them. This will show your problem-solving skills and readiness to support partners effectively.
