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- Tasks: Help customers tackle big data challenges using the Databricks Platform through engaging projects.
- Company: Join Databricks, a leading data and AI company trusted by over 10,000 organisations globally.
- Benefits: Enjoy comprehensive benefits, remote work options, and a commitment to diversity and inclusion.
- Why this job: Make a real impact by guiding customers on their big data journeys in a dynamic environment.
- Qualifications: Proficiency in data engineering, coding in Python or Scala, and experience with cloud ecosystems required.
- Other info: Expect to travel to customers 30% of the time and gain valuable industry insights.
The predicted salary is between 43200 - 72000 ÂŁ per year.
As a Big Data Solutions Architect (Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will engage with customers on short- to medium-term projects, helping them navigate their big data challenges using the Databricks Platform. You will deliver data engineering, data science, and cloud technology solutions—integrating with customer systems, delivering training, and other technical activities that maximise the value customers derive from their data. As a billable consultant, you will ensure projects are completed on time, within scope, and with a best-in-class customer experience. In this role, you will report to the regional Professional Services Lead.
The impact you will have:
- Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.
- Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.
- Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry-leading data and AI applications on the Databricks platform.
- Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks.
- Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly.
- Align technical delivery: Partner with cross-functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
- Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.
What we look for:
- Extensive experience and proficiency in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices.
- Comfortable writing code in either Python or Scala.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 30% of the time.
- Databricks Certification.
About Databricks:
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. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Our Commitment to Diversity and Inclusion:
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Big Data Solutions Architect - Emerging Enterprise & Digital Natives employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Solutions Architect - Emerging Enterprise & Digital Natives
✨Tip Number 1
Familiarise yourself with the Databricks platform and its capabilities. Understanding how to leverage its features for big data challenges will not only boost your confidence but also demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the big data and cloud technology space. Attend relevant meetups, webinars, or conferences to connect with others who work with Databricks or similar technologies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Showcase your experience with distributed computing and data engineering through practical projects. Whether it's through open-source contributions or personal projects, having tangible examples of your work can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to managing client relationships and project scopes. Being able to articulate your strategies for ensuring successful project delivery and customer satisfaction will be crucial in interviews.
We think you need these skills to ace Big Data Solutions Architect - Emerging Enterprise & Digital Natives
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data engineering, analytics, and cloud ecosystems. Emphasise your proficiency in Python or Scala, and any relevant projects that showcase your skills in distributed computing with Apache Spark.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about big data solutions and how your background aligns with the role. Mention specific experiences where you've successfully managed technical projects and delivered customer value.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to design and implement data architectures. Highlight any experience with CI/CD processes and MLOps, as well as your familiarity with Databricks or similar platforms.
Prepare for Technical Questions: Anticipate technical questions related to data engineering and architecture during the interview process. Brush up on your knowledge of cloud ecosystems and be ready to discuss your approach to solving complex data challenges.
How to prepare for a job interview at Databricks
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data engineering, cloud ecosystems, and distributed computing. Highlight specific projects where you've successfully implemented solutions using Apache Spark or Databricks, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Customer's Needs
Research the company and its clients to understand their big data challenges. During the interview, articulate how you can help them navigate these issues, focusing on your ability to deliver tailored solutions that maximise customer value.
✨Demonstrate Project Management Skills
Discuss your experience in managing project scopes, timelines, and deliverables. Provide examples of how you've ensured projects were completed on time and within budget, as this is crucial for a billable consultant role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Practice articulating your thought process when faced with operational issues or conflicts, showcasing your collaboration skills with cross-functional teams.
