AI Data Platform Architect

AI Data Platform Architect

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Omaze

At a Glance

  • Tasks: Design and build an AI-powered data platform to transform sales data into insights.
  • Company: Join Omaze, a forward-thinking company at the forefront of AI technology.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and onboard non-technical users for a holistic approach.
  • Why this job: Make a real impact by creating infrastructure for AI assistants in a dynamic environment.
  • Qualifications: Strong background in data engineering, Python, SQL, and cloud platforms required.

The predicted salary is between 60000 - 80000 £ per year.

Omaze is looking for a highly skilled Data Architect to help build a cutting-edge, AI-powered retrieval platform that transforms sales data into actionable insights. This hands-on role involves creating critical infrastructure for AI assistants. You will work closely with various teams, ensuring effective data pipelines and onboarding non-technical users.

The ideal candidate has strong experience in data engineering, proficiency in Python and SQL, and familiarity with cloud data platforms.

AI Data Platform Architect employer: Omaze

Omaze is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about leveraging AI to drive meaningful change. With a focus on employee growth, we offer ample opportunities for professional development and skill enhancement in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that encourages creativity and teamwork, making it an ideal place for talented individuals to thrive.

Omaze

Contact Details:

Omaze Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Data Platform Architect

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 involving data engineering, Python, and SQL. 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 brushing up on common data architecture questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to onboard non-technical users in this role.

Tip Number 4

Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives us a chance to see your enthusiasm for the role right from the start.

We think you need these skills to ace AI Data Platform Architect

Data Engineering
Python
SQL
Cloud Data Platforms
Data Pipeline Development
AI Integration
Infrastructure Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data engineering, Python, and SQL. We want to see how your skills align with the role of an AI Data Platform Architect, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building AI-powered platforms and how your background makes you the perfect fit for our team at Omaze.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data architecture or engineering. We love seeing candidates who can think critically and come up with innovative solutions!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Omaze

Know Your Tech Inside Out

Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss specific projects where you've built data pipelines or worked with cloud data platforms. This will show that you not only understand the theory but have practical experience too.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled challenges in previous roles. Think about situations where you had to create infrastructure for AI assistants or onboard non-technical users. Highlighting your problem-solving abilities will demonstrate your value to the team.

Understand the Company’s Vision

Research Omaze and their mission to transform sales data into actionable insights. Being able to articulate how your skills align with their goals will impress the interviewers and show that you're genuinely interested in the role.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, the technology stack they use, and how they envision the AI-powered retrieval platform evolving. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.