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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 innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex data challenges for top-tier clients.
- Qualifications: 10+ years in technical project delivery, programming skills in Python, SQL, or Scala.
- Other info: Dynamic role with excellent career advancement and collaboration opportunities.
The predicted salary is between 54000 - 84000 £ 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 Senior 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. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.
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. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organisation. You will report directly to a DSA Manager within the Field Engineering organization.
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:
- 10+ years of 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.
Sr. Delivery Solutions Architect in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Delivery Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Databricks or similar companies. A friendly chat can lead to insider info about job openings and even referrals, which can give you a leg up in the hiring process.
✨Tip Number 2
Prepare for interviews by diving deep into Databricks' products and services. Understand their Data Intelligence Platform inside out, and be ready to discuss how your experience aligns with their mission. This shows you're genuinely interested and can hit the ground running.
✨Tip Number 3
Don’t just wait for job postings! Be proactive and apply through our website. Tailor your application to highlight your technical and commercial skills, showcasing how you can drive growth and customer success at Databricks.
✨Tip Number 4
Follow up after interviews with a thank-you note. Mention specific points from your conversation that excited you about the role. This not only shows your enthusiasm but also keeps you fresh in the interviewer's mind as they make their decision.
We think you need these skills to ace Sr. Delivery Solutions Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Delivery Solutions Architect. Highlight your experience in technical project delivery, customer success, and any relevant programming skills. We want to see how your background aligns with our mission at Databricks!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our customers' success. Be sure to mention specific experiences that demonstrate your ability to drive growth and build relationships.
Showcase Your Technical Skills: Since this role is both technical and commercial, make sure to showcase your programming experience in Python, SQL, or Scala. We want to see how you can engage with technical debates and design choices, so don’t hold back on your technical achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll be one step closer to joining our amazing team at Databricks!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
As a Senior Delivery Solutions Architect, you'll need to demonstrate your technical expertise. Brush up on your knowledge of data systems, programming languages like Python, SQL, and Scala, and be ready to discuss how you've applied these skills in past projects.
✨Understand the Customer's Needs
Before the interview, research Databricks and its platform. Think about how you can help customers maximise their investment. Be prepared to share examples of how you've successfully engaged with stakeholders and driven customer success in previous roles.
✨Showcase Your Project Management Skills
This role requires strong project management abilities. Be ready to discuss your experience in managing technical projects, including how you've navigated challenges and ensured successful delivery. Highlight any specific methodologies or tools you've used.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of complex situations you've encountered in previous roles and how you resolved them. This will show your ability to create certainty from uncertainty, a key aspect of the role.
