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For Companies At a Glance
- Tasks: Design and implement data solutions using cutting-edge AI technologies for diverse clients.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Enjoy competitive perks, remote work options, and a focus on professional growth.
- Why this job: Make a real impact by solving big data challenges with top-tier technology.
- Qualifications: Experience in data engineering and coding in Python or Scala is essential.
- Other info: Collaborative environment with opportunities for travel and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Hybrid – London
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Data & AI Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer‑facing ownership.
As a Data & AI Solutions Architect (Internal Title – Resident 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:
- Extensive 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 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 10% of the time [Preferred].
- Databricks Certification but not essential.
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.
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 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.
Data & AI Solutions Architect (Professional Services) employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Solutions Architect (Professional Services)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and AI. 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 related to data platforms and cloud ecosystems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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!
We think you need these skills to ace Data & AI Solutions Architect (Professional Services)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data & AI 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!
Show Off Your Technical Skills: Don’t hold back on showcasing your coding skills in Python or Scala! Mention any experience you have with Apache Spark™ and CI/CD processes. We love seeing candidates who can demonstrate their technical depth and hands-on experience.
Highlight Customer Engagement Experience: Since this role involves working closely with clients, make sure to emphasise your experience in managing client relationships and delivering successful projects. Share examples of how you've navigated challenges and provided excellent customer service.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the right position. Plus, it’s super easy to do!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data engineering, cloud ecosystems, and distributed computing. Be ready to discuss your experience with Apache Spark™ and how you've used it in past projects. This role is all about technical depth, so showing off your skills will definitely impress.
✨Prepare for Real-World Scenarios
Think about specific projects you've worked on that relate to big data challenges. Be prepared to explain your approach to designing and building data architectures, and how you’ve tackled client issues. Use examples that highlight your problem-solving skills and customer service experience.
✨Showcase Your Communication Skills
As a Data & AI Solutions Architect, you'll need to communicate complex ideas clearly. Practice explaining technical concepts in simple terms, as if you're talking to a non-technical audience. This will demonstrate your ability to guide clients through their projects effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers.
