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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 trusted by top global organisations.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for professional growth.
- 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.
- Other info: Dynamic role with travel opportunities and a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
We have 9 open positions based from our London office. As a 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 get the most value out of their data. RSAs are billable and know how to complete projects according to specifications 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 productionalising customer use cases.
- Work with engagement managers to scope a variety of professional services 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 customer's 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 the customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution of engagement-specific product and support issues.
What we look for
- Proficient 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 SparkTM 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 is required up to 10%, more at peak times.
- 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 SparkTM, 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. 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.
Big Data Solutions Architect, Professional Services in England employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Solutions Architect, Professional Services in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to big data and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to Solutions Architect roles. Think about how you would tackle real-world problems using Databricks and be ready to discuss your thought process.
✨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, it shows you’re genuinely interested in joining our team at Databricks.
We think you need these skills to ace Big Data Solutions Architect, Professional Services in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in data engineering, cloud ecosystems, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 aligns with our needs. Don’t forget to mention your experience with Databricks or similar platforms if you have it!
Showcase Your Technical Skills: Since this role involves coding and technical project delivery, be sure to include specific examples of your work with Python, Scala, or Apache Spark. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly 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 candidates who take the initiative!
How to prepare for a job interview at Menlo Ventures
✨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 used them in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Project Experience
Prepare to talk about specific projects you've worked on, particularly those involving big data challenges. Highlight your role, the technologies you used, and the impact of your work. This will demonstrate your hands-on experience and ability to deliver results.
✨Understand Client Engagement
Since this role involves working closely with clients, be ready to discuss how you've managed client relationships in the past. Share examples of how you've handled conflicts or provided exceptional customer service, as this is crucial for success in a Solutions Architect position.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and expectations for the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.