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For Companies At a Glance
- Tasks: Design and implement big data solutions using the Databricks Platform for diverse clients.
- Company: Join Databricks, a leading data and AI company with a global presence.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on diversity and inclusion.
- Why this job: Make a real impact by solving big data challenges and transforming client projects.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
The predicted salary is between 36000 - 60000 £ per year.
Big Data Solutions Architect (Professional Services)
London, United Kingdom
Location
London
As a Big Data Solutions Architect, in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\’s and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers\’ successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\’s needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- 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 Sparkâ„¢ 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
Senior Big Data Solutions Architect (Sr Resident Solutions Architect)
As a Senior Big Data Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\’s and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap hands-on projects which leads to a customers\’ successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\’s needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 9+ years experience in data engineering, data platforms & analytics
- 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 Sparkâ„¢ and knowledge of Apache Sparkâ„¢ runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Capable of design and deployment of highly performant end-to-e nd data architectures
- Experience with technical project delivery – managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
Professional Services Engineer
You will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks platform. You will be in a customer-facing role that requires deep hands‑on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the regional Manager/Lead.
The impact you will have:
- You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
- You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
- You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
- Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
- Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
- Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
- Provide experience to the consulting team, provide best practices in client engagement to other teams
What we look for:
- 4+ years experience in data engineering, data platforms & analytics
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
- Comfort with object-oriented and functional programming in Scala and Python
- Experience in building scalable streaming and batch solutions using cloud-native components
- Strong knowledge of distributed computing with Apache Sparkâ„¢
- Travel to customers 30% of the time
- Nice to have: 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. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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 we hiring practices are inclusive and meet equal employment opportunity standards. 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.
Compliance
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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Big Data Solutions Architect (Professional Services) employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Solutions Architect (Professional Services)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Big Data Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and cloud technologies. We want to see how you’ve tackled big data challenges and made an impact – this will definitely catch the eye of hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with clients. We recommend doing mock interviews with friends or using online platforms to get feedback.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Big Data Solutions Architect (Professional Services)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Big Data Solutions Architect role. Highlight your experience with data engineering, cloud ecosystems, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how your background makes you a great fit for our team. Don’t forget to mention your familiarity with Databricks and any relevant certifications.
Showcase Your Technical Skills: Since this role involves a lot of technical work, be sure to showcase your coding skills in Python or Scala. Mention any experience you have with Apache Sparkâ„¢ and CI/CD processes. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your data engineering and cloud technology skills, especially with Databricks. Be ready to discuss your experience with Python or Scala, and how you've tackled big data challenges in the past.
✨Showcase Your Project Management Skills
Prepare to talk about your experience managing technical projects. Highlight specific examples where you successfully scoped projects, managed timelines, and delivered results that met client expectations.
✨Understand the Client's Needs
Research the company and its clients. Be prepared to discuss how you would approach their big data challenges and what strategies you would use to ensure successful implementation of solutions.
✨Practice Problem-Solving Scenarios
Expect to face technical scenarios during the interview. Practice explaining your thought process for solving complex problems, particularly those related to distributed computing and MLOps, as this will demonstrate your expertise.