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- Tasks: Lead technical strategies and ensure customer success with Databricks workloads.
- Company: Databricks empowers customers to tackle complex data challenges using their Intelligence platform.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team, make an impact, and enhance your skills in a cutting-edge tech environment.
- Qualifications: 7+ years in technical program delivery, programming skills in Python, SQL, or Scala required.
- Other info: Contribute to a community of experts and share best practices.
The predicted salary is between 48000 - 72000 £ per year.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilising the 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.
As a DSA, you will help ensure customer success by increasing focus and technical accountability for our most complex customers, guiding them to accelerate usage of Databricks workloads they have already selected, helping them maximise the value and return on investment of our platform. This is a hybrid technical and commercial role. It involves driving growth in your assigned customers and use cases through leading stakeholders, building executive relationships, orchestrating teams within Databricks, and creating strategies for colleagues. Simultaneously, you will act as the technical lead across all Databricks products post-sale, engaging at all organisational levels. You will report directly to a DSA manager in the Field Engineering organization in Northern EMEA.
The impact you will have:
- Assist strategic customers in deploying or migrating workloads into production on Databricks Lakehouse, leading the post-win technical account strategy and execution.
- Be the accountable technical leader for specific Use Cases and customers, ensuring onboarding, enablement, success, go-live, and healthy consumption of workloads.
- Develop and execute plans covering all activities of customer-facing technical roles and teams.
- Serve as the first contact for technical challenges related to production/go live status of Use Cases.
- Collaborate with User Education, Onboarding/Technical Services, Support teams, and escalate to experts when needed.
- Coordinate with Professional Services and Partners.
- Navigate Databricks Product and Engineering teams for new product innovations, previews, and upgrades.
- Provide regular updates on progress, risks, and blockers to leadership.
- Contribute to the DSA community by sharing best practices and assets.
What we look for:
- 7+ years of experience in technical program delivery within Data and AI, contributing to technical debates and design choices.
- Programming experience in Python, SQL, or Scala.
- Experience in customer-facing pre-sales, technical architecture of distributed data systems, customer success, or consulting roles.
- Ability to attribute business value and outcomes to project deliverables.
- Technical program management experience, including stakeholder and resource management.
- Experience conducting discovery workshops, creating strategic roadmaps, and managing complex projects.
- Continuous learning and keeping up with the evolution of the Databricks Lakehouse platform.
- A track record of overachievement against quotas or goals.
Delivery Solutions Architect employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Solutions Architect
✨Tip Number 1
Familiarise yourself with the Databricks platform and its key features. Understanding how the Lakehouse architecture works and being able to discuss its benefits will help you stand out during interviews.
✨Tip Number 2
Network with current or former employees of Databricks on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experience in technical program delivery, especially in Data and AI. Be ready to share specific examples of how you've contributed to customer success and managed complex projects.
✨Tip Number 4
Stay updated on the latest trends in data engineering and AI technologies. Being knowledgeable about industry advancements will demonstrate your commitment to continuous learning and your ability to contribute to Databricks' mission.
We think you need these skills to ace Delivery Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical program delivery, particularly within Data and AI. Emphasise your programming skills in Python, SQL, or Scala, and any customer-facing roles you've held.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Delivery Solutions Architect at Databricks. Mention specific experiences that demonstrate your ability to drive customer success and manage complex projects.
Showcase Technical Expertise: Be prepared to discuss your technical knowledge during the application process. Highlight any experience with distributed data systems and your ability to contribute to technical debates and design choices.
Demonstrate Customer Success Focus: Illustrate your understanding of customer success by providing examples of how you've helped clients maximise value from previous platforms or technologies. This will show your alignment with Databricks' mission.
How to prepare for a job interview at TN United Kingdom
✨Understand the Databricks Platform
Make sure you have a solid grasp of the Databricks platform and its capabilities. Familiarise yourself with the Lakehouse architecture and how it can solve complex data problems. This knowledge will help you demonstrate your technical expertise during the interview.
✨Showcase Your Technical Experience
Be prepared to discuss your 7+ years of experience in technical program delivery, especially in Data and AI. Highlight specific projects where you contributed to design choices or overcame technical challenges, as this will showcase your problem-solving skills.
✨Demonstrate Customer Success Focus
Since the role involves ensuring customer success, share examples of how you've helped clients achieve their goals. Discuss your experience in customer-facing roles and how you've built relationships that led to successful project outcomes.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python, SQL, or Scala. Brush up on your coding skills and be ready to discuss how you've used these languages in previous roles, particularly in relation to distributed data systems.
