Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London
Senior AI/BI Solutions Architect — Data & Lakehouse Strategy

Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London

London Full-Time 70000 - 90000 £ / year (est.) No home office possible
Go Premium
Databricks

At a Glance

  • Tasks: Design and deliver cloud-based Data Visualisation solutions using AI/BI.
  • Company: Leading data and AI company with a focus on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Hands-on experience with AWS, Azure, or GCP is essential.
  • Why this job: Join a dynamic team and shape the future of data solutions.
  • Qualifications: 6+ years in customer-facing roles, proficient in SQL and Python.

The predicted salary is between 70000 - 90000 £ per year.

A leading data and AI company is looking for a Solutions Architect (AI/BI) to design and deliver cloud-based Data Visualisation solutions. The role requires 6+ years in a customer-facing position and proficiency in SQL and Python. Candidates should have hands-on experience with AWS, Azure, or GCP. This position involves collaborating with

Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London employer: Databricks

As a leading data and AI company, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge technologies in a vibrant location. Join us to be part of a forward-thinking team that values your contributions and supports your career growth.
Databricks

Contact Detail:

Databricks Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London

Tip Number 1

Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your cloud-based Data Visualisation projects. Use platforms like GitHub to share your code and demonstrate your proficiency in SQL and Python. This will make you stand out when we’re looking for candidates.

Tip Number 3

Prepare for those interviews! Research common questions for Solutions Architect roles, especially around AWS, Azure, and GCP. Practise your answers and think of examples from your experience that highlight your customer-facing skills.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It shows initiative and enthusiasm, which we really appreciate!

We think you need these skills to ace Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London

Cloud-based Data Visualisation
SQL
Python
AWS
Azure
GCP
Customer-facing Experience
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in cloud-based Data Visualisation solutions. We want to see how your skills in SQL and Python shine through, so don’t hold back!

Showcase Your Experience: Since we’re looking for someone with 6+ years in a customer-facing role, be sure to include specific examples of how you've successfully collaborated with clients. This will help us see your impact!

Highlight Relevant Skills: Don’t forget to mention your hands-on experience with AWS, Azure, or GCP. We love seeing candidates who can demonstrate their technical prowess in these areas.

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 this exciting opportunity!

How to prepare for a job interview at Databricks

Know Your Tech Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in cloud environments like AWS, Azure, or GCP.

Showcase Your Customer-Facing Experience

Since this role is customer-facing, prepare examples of how you've successfully collaborated with clients. Highlight any challenges you faced and how you overcame them to deliver effective solutions.

Understand Data Visualisation Trends

Stay updated on the latest trends in data visualisation. Be prepared to discuss how you can leverage these trends to design innovative solutions that meet client needs.

Ask Insightful Questions

Prepare thoughtful questions about the company's data and AI strategy. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

Senior AI/BI Solutions Architect — Data & Lakehouse Strategy in London
Databricks
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>