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For Companies At a Glance
- Tasks: Collaborate with teams to drive customer success and maximise platform value.
- Company: Join Databricks, a leader in data and AI solutions for over 10,000 global organisations.
- Benefits: Enjoy hybrid work options, diverse culture, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team solving complex data challenges with innovative technology.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in Data and AI projects required.
- Other info: Travel up to 30% may be needed; commitment to diversity and inclusion is a priority.
The predicted salary is between 43200 - 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 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. 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 of 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, orchestrating other focused/specialised teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will report directly to a DSA Manager within the Field Engineering organisation. 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 first contact for any technical issues or questions related to the production/go live status of agreed-upon use cases within an account, oftentimes serving 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 Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Provide internal and external updates – KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression – to your Technical GM 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 Experience in end-to-end project planning and building milestones for clients Data Engineering (DE), Business Intelligence/Data Warehousing (BI/DWH) and/or Data Science/Machine Learning (DS/ML/AI) Programming experience in Python / PySpark or SQL 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 conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Bachelor\’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\’s discretion whether to apply for a U.
Solution Architect - Data Science employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - Data Science
✨Tip Number 1
Familiarise yourself with the Databricks platform and its key features. Understanding how it addresses complex data problems will help you engage effectively with potential customers and demonstrate your expertise during discussions.
✨Tip Number 2
Network with current employees or professionals in the field of Data Science and Solution Architecture. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented data solutions. Highlighting your experience with Data Engineering, Business Intelligence, or Machine Learning will showcase your ability to drive customer success and align with the role's requirements.
✨Tip Number 4
Stay updated on the latest trends in Data Science and AI. Being knowledgeable about emerging technologies and methodologies will not only impress interviewers but also demonstrate your commitment to continuous learning and innovation in the field.
We think you need these skills to ace Solution Architect - Data Science
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Solution Architect - Data Science position at Databricks. Tailor your application to highlight relevant experiences that align with their mission and the specific tasks mentioned in the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience in technical project delivery within Data and AI. Provide specific examples of how you've contributed to similar roles, particularly in areas like data engineering, business intelligence, or machine learning.
Showcase Technical Skills: Make sure to include your programming experience in Python, PySpark, or SQL. Detail any relevant projects where you applied these skills, especially in relation to distributed data systems and solution architecture.
Demonstrate Soft Skills: Since this role involves collaboration with sales and engineering teams, highlight your ability to build relationships and manage stakeholders. Include examples of how you've successfully navigated complex customer environments and driven growth through strategic planning.
How to prepare for a job interview at Databricks Inc.
✨Understand the Databricks Platform
Make sure you have a solid grasp of the Databricks Data Intelligence Platform. Familiarise yourself with its features, benefits, and how it solves data problems for customers. This knowledge will help you demonstrate your ability to drive customer success during the interview.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience in Data Engineering, Business Intelligence, and Data Science. Highlight specific projects where you've delivered technical solutions and how you've contributed to design choices. This will show your capability to engage in technical debates with clients.
✨Demonstrate Commercial Acumen
Since this role is hybrid, it's crucial to showcase your commercial skills. Discuss how you've built relationships with stakeholders and driven growth in previous roles. Be ready to share examples of how you've created strategic plans that align with business objectives.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to manage complex projects. Think of examples from your past experiences where you've successfully navigated challenges, managed resources, and delivered results. This will illustrate your readiness for the role.
