Solutions Architect (Data / Hybrid)
Solutions Architect (Data / Hybrid)

Solutions Architect (Data / Hybrid)

Surbiton Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Collaborate with teams to drive customer success and maximise platform value.
  • Company: Join Databricks, a leading data and AI company trusted by over 10,000 organisations globally.
  • Benefits: Enjoy a hybrid work environment with opportunities for travel and professional growth.
  • Why this job: Be part of a mission-driven team solving complex data challenges while building valuable relationships.
  • Qualifications: Bachelor's degree in a relevant field and experience in data engineering or project management required.
  • Other info: Diversity and inclusion are core values at Databricks, fostering a supportive workplace.

The predicted salary is between 43200 - 72000 Β£ 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 β€” including Comcast, CondΓ© Nast, Grammarly, and over 50% of the Fortune 500 β€” 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.

Solutions Architect (Data / Hybrid) employer: Databricks Inc.

Databricks is an exceptional employer that champions innovation and collaboration, providing a dynamic work environment where Solutions Architects can thrive. With a strong commitment to employee growth, you will have access to extensive resources and support, enabling you to drive impactful solutions for some of the world's largest organisations. Our inclusive culture fosters diversity and encourages every team member to contribute their unique perspectives, making Databricks not just a workplace, but a community dedicated to solving complex data challenges.
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Contact Detail:

Databricks Inc. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Solutions Architect (Data / Hybrid)

✨Tip Number 1

Familiarise yourself with the Databricks Data Intelligence Platform. Understanding its features and capabilities will allow you to speak confidently about how it can solve complex data problems for customers, which is crucial in a Solutions Architect role.

✨Tip Number 2

Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, helping you tailor your approach.

✨Tip Number 3

Brush up on your technical skills, especially in Python, PySpark, and SQL. Being able to demonstrate your programming knowledge during discussions will set you apart as a candidate who can contribute to technical debates and design choices.

✨Tip Number 4

Prepare to discuss your experience with end-to-end project planning and delivery. Be ready to share specific examples of how you've managed complex programmes or projects, as this will showcase your ability to handle the responsibilities of the role.

We think you need these skills to ace Solutions Architect (Data / Hybrid)

Technical Project Management
Data Engineering
Business Intelligence/Data Warehousing
Data Science/Machine Learning
Programming in Python/PySpark
SQL Proficiency
Solution Architecture for Distributed Data Systems
Stakeholder Management
Account Management
Risk Assessment and Mitigation
KPI Reporting
Open-ended Discovery Workshops
Strategic Roadmap Creation
Business Analysis
Complex Programme/Project Delivery

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, business intelligence, and project management. Emphasise your technical skills in Python, SQL, and any experience with distributed data systems.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Solutions Architect at Databricks. Mention specific projects or experiences that demonstrate your ability to drive customer success and manage complex technical issues.

Showcase Your Technical Expertise: Provide examples of past projects where you have successfully delivered technical solutions. Highlight your experience in conducting discovery workshops and creating strategic roadmaps, as these are key aspects of the role.

Demonstrate Your Understanding of Customer Needs: Illustrate your ability to build executive relationships and understand customer requirements. Discuss how you have previously navigated technical challenges and contributed to customer growth and satisfaction.

How to prepare for a job interview at Databricks Inc.

✨Understand the Databricks Platform

Familiarise yourself with the Databricks Data Intelligence Platform and its key features. Be prepared to discuss how you can leverage this platform to solve complex data problems for customers.

✨Showcase Your Technical Expertise

Highlight your experience in Data Engineering, Business Intelligence, or Data Science. Be ready to discuss specific projects where you've successfully delivered technical solutions and how they relate to the role.

✨Demonstrate Commercial Acumen

Since this role is hybrid, it's crucial to show your understanding of the commercial aspects. Prepare examples of how you've driven growth and built relationships with stakeholders in previous roles.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and ability to manage complex projects. Think of examples where you've navigated challenges and delivered successful outcomes.

Solutions Architect (Data / Hybrid)
Databricks Inc.
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