Data Platform Architect, Principal
Data Platform Architect, Principal

Data Platform Architect, Principal

Full-Time 54000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design of innovative data and AI platforms for diverse clients.
  • Company: Join Credera, a global consulting firm with a vibrant culture.
  • Benefits: Competitive salary, comprehensive benefits, and a dynamic work environment.
  • Why this job: Shape the future of data and AI while making a real impact.
  • Qualifications: 8+ years in data architecture and AI platform design required.
  • Other info: Excellent career growth opportunities in a values-led organisation.

The predicted salary is between 54000 - 84000 £ per year.

Overview

Join to apply for the Data Platform Architect, Principal role at Credera

Join to apply for the Data Platform Architect, Principal role at Credera

This range is provided by Credera. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Credera

Talent Acquisition – Tech & Engineering at Credera UK

Are you passionate about developing a career in technology? Does the idea of working for different clients on complex business-critical IT projects excite you? If yes, then read on!

What you’ll do

We are looking for an experienced Data & AI Platform Architect to play a pivotal role in shaping the future of data and AI capabilities at our clients; with expertise in cloud-native data & analytics platforms and the spectrum of data value chain capabilities. This senior leadership position requires a visionary individual with extensive experience in data architecture, AI platform design, and a deep understanding of emerging technologies. The ideal candidate will lead the development and implementation of cutting-edge data and AI solutions, ensuring scalability, security, and efficiency.

Core Responsibilities

  • Lead the design and development of robust data and AI platforms that support client strategic goals.
  • Oversee the integration of Machine Learning & Generative AI technologies, ensuring seamless functionality and performance.
  • Drive the implementation and industrialisation of Machine Learning & Large Language Models (LLMs) to enhance data processing and analytics capabilities, using technologies such as GPT-4, BERT, and T5.
  • Collaborate with cross-functional teams to align data and AI strategies with business objectives.
  • Ensure data security and compliance with industry standards and regulations.
  • Mentor and guide a team of data engineers and architects, fostering a culture of innovation and excellence.
  • Lead the implementation of generative AI architectures and Proof of Concepts (PoCs) at client sites, demonstrating the value and potential of AI-driven solutions.

Wider Responsibilities

  • Define and implement platform architectures for cloud-native PaaS and SaaS applications with a focus on data, analytics & AI.
  • Ensure seamless data flow across microservices and API-driven architectures
  • Establish best practices for real-time and batch processing in hybrid cloud environments.
  • Lead the implementation of streaming technologies (Kafka, AWS Kinesis, Azure Event Hub) for real-time data ingestion.
  • Implement robust data management & governance strategies for long-term sustainability.
  • Advise clients on data platform & analytics modernization strategies.
  • Work closely with business, engineering, and policy teams to align solutions with organizational goals.
  • Provide guidance on best practices for cloud-native data & analytics platforms.

Who you are?

Experience:

  • Proven experience (8+ years) in data architecture and AI platform design.
  • Expertise in Machine Learning & Generative AI technologies and their application in data platforms.
  • Familiarity with LLM implementation and industrialisation, including technologies such as GPT-4, BERT, and T5.
  • Strong leadership and project management skills.
  • Excellent communication and collaboration abilities.
  • In-depth knowledge of data security and compliance standards.
  • Strong knowledge of advanced data analytics and machine learning techniques.
  • Strong understanding of cloud-centric approaches to solution design & architecture

Preferred Experience

  • Experience in leading solution implementations for medium to large teams
  • Public sector experience preferred (government, healthcare, or regulated industries).
  • Strong understanding of core data management concepts over the full data lifecycle
  • Strong understanding of CI/CD and modern approaches to IT & infrastructure delivery
  • Technical Qualifications:
  • Certified architect in a cloud-based platform (AWS, Azure, GCP); desired data / AI specialism
  • Certified in leading modern data warehouse / AI ecosystems (BigQuery, Redshift, Synapse, Snowflake, Databricks).

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.

Learn more

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.

We are part of the OPMG Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinise, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.

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Data Platform Architect, Principal employer: Credera

Credera is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Data Platform Architect, Principal to thrive. With a commitment to employee growth, competitive compensation, and a comprehensive benefits package, Credera empowers its team members to make a meaningful impact on complex IT projects across various industries. Located in the UK, the company offers a unique opportunity to work with cutting-edge technologies while being part of a values-led organisation dedicated to transforming client experiences.
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Contact Detail:

Credera Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Platform Architect, Principal

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and scenarios related to data architecture and AI. Use mock interviews with friends or mentors to build confidence and refine your answers.

✨Tip Number 3

Showcase your expertise! Create a portfolio of projects that highlight your skills in data platforms and AI solutions. This can be a game-changer during interviews, giving you a tangible way to demonstrate your capabilities.

✨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 Credera.

We think you need these skills to ace Data Platform Architect, Principal

Data Architecture
AI Platform Design
Cloud-Native Data Platforms
Machine Learning
Generative AI
Large Language Models (LLMs)
Data Security
Compliance Standards
Project Management
Data Analytics
Streaming Technologies (Kafka, AWS Kinesis, Azure Event Hub)
Data Management & Governance
CI/CD
Cloud-Based Platform Certification (AWS, Azure, GCP)
Modern Data Warehouse Certification (BigQuery, Redshift, Synapse, Snowflake, Databricks)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Platform Architect role. Highlight your experience with data architecture and AI platform design, and don’t forget to mention any relevant technologies like GPT-4 or BERT!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills align with our needs. Be specific about your achievements in data and AI projects.

Showcase Your Leadership Skills: Since this is a senior position, make sure to highlight your leadership experience. Talk about how you've mentored teams or led projects, and how that has contributed to successful outcomes.

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 role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Credera

✨Know Your Tech Inside Out

Make sure you’re well-versed in the latest data architecture and AI platform design trends. Brush up on technologies like GPT-4, BERT, and T5, as well as cloud-native solutions. Being able to discuss these confidently will show your expertise and passion for the role.

✨Showcase Your Leadership Skills

As a Principal Data Platform Architect, leadership is key. Prepare examples of how you've mentored teams or led projects in the past. Highlight your ability to drive collaboration across cross-functional teams, as this will resonate well with the interviewers.

✨Align with Business Objectives

Understand how data and AI strategies can align with business goals. Be ready to discuss how you’ve implemented solutions that not only meet technical requirements but also drive business value. This shows you’re not just a techie, but someone who understands the bigger picture.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems or case studies related to data platforms and AI implementations. Practise articulating your thought process clearly and logically, as this will demonstrate your problem-solving skills and strategic thinking.

Data Platform Architect, Principal
Credera
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  • Data Platform Architect, Principal

    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-10-09

  • C

    Credera

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