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- Tasks: Lead technical strategies and ensure customer success with Databricks' innovative platform.
- Company: Join Databricks, a leader in data intelligence and AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex data challenges for top-tier clients.
- Qualifications: Experience in Data & AI project delivery and strong programming skills.
- Other info: Dynamic role with travel opportunities and a focus on collaboration.
The predicted salary is between 36000 - 60000 £ per year.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers, and help ensure customer success by increasing focus and technical accountability to our most complex customers.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritised customers.
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
- Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organisations.
- Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.
- Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.
- Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs.
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from 'win' to production.
- Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision).
- Organic needs for current investment (e.g., cloud cost control, tuning & optimisation).
- Executive and operational governance.
What we look for:
- Extensive experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers.
- Programming experience in Python, SQL or Scala.
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- Understanding of solution architecture related to distributed data systems.
- Understanding of how to attribute business value and outcomes to specific project deliverables.
- Technical program, or project management including account, stakeholder and resource management accountability.
- Experience resolving complex and important escalations with senior customer executives.
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects.
- Track record of overachievement against quota, goals or similar objective targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent through work experience.
- Can travel up to 30% when needed.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Sales, Strategy/Planning, and Project Management
Industries: Software Development and IT Services and IT Consulting
Delivery Solutions Architect (Data & AI, Project Delivery) in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Solutions Architect (Data & AI, Project Delivery) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their mission, especially around Data & AI.
✨Tip Number 3
Practice your technical skills! Brush up on Python, SQL, or Scala, as these are key for the Delivery Solutions Architect role. Mock interviews can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Delivery Solutions Architect (Data & AI, Project Delivery) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Delivery Solutions Architect role. Highlight your experience in Data and AI, and how it aligns with what we’re looking for at Databricks.
Showcase Your Technical Skills: Don’t forget to mention your programming experience in Python, SQL, or Scala. We want to see how you can contribute technically, so be specific about your skills and projects.
Demonstrate Customer Engagement: Since this role is customer-facing, share examples of how you've successfully managed relationships and resolved complex issues with clients. We love seeing your ability to drive customer success!
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 don’t miss any important updates from our team.
How to prepare for a job interview at Databricks
✨Know Your Data & AI Stuff
Make sure you brush up on your knowledge of Data and AI concepts. Be ready to discuss how you've tackled technical project delivery in the past, especially in customer-facing roles. This will show that you can contribute to technical debates and design choices.
✨Showcase Your Programming Skills
Since programming experience in Python, SQL, or Scala is key, be prepared to talk about specific projects where you've used these languages. Maybe even have a couple of examples ready to demonstrate your problem-solving skills and how you’ve applied them in real-world scenarios.
✨Understand the Customer's Needs
Get into the mindset of the customer. Think about how you can drive growth and success for them using the Databricks platform. Prepare to discuss how you would engage with stakeholders and create strategies that align with their goals.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that test your ability to navigate complex situations. Think about times when you've resolved escalations or managed multiple stakeholders. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
