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.
- Other info: Excellent career growth opportunities in a supportive team.
- 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.
The predicted salary is between 54000 - 84000 £ per year.
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 rangeDirect message the job poster from Credera
Talent Acquisition - Tech & Engineering at Credera UKAre 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.
#J-18808-LjbffrData Platform Architect, Principal in London 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. With a commitment to employee growth, you will have the opportunity to lead cutting-edge projects in a supportive environment while enjoying a competitive salary and comprehensive benefits. Located in the UK, Credera's entrepreneurial spirit and global reach provide a unique platform for meaningful contributions that truly impact clients and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Architect, Principal in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at Credera or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data architecture and AI. Practice common interview questions and be ready to showcase your expertise with real-world examples.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick message to the recruiter can show your enthusiasm and keep you on their radar.
✨Tip Number 4
Showcase your passion for technology during interviews. Share your thoughts on emerging technologies and how they can impact data platforms. This will demonstrate your forward-thinking mindset and fit for the role.
We think you need these skills to ace Data Platform Architect, Principal in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Platform Architect role. Highlight your experience in data architecture and AI platform design, and don’t forget to mention any relevant technologies you’ve worked with, like GPT-4 or Azure.
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 Credera's mission. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
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 in the past, especially in areas related to data and AI solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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, you'll need to demonstrate strong leadership abilities. Prepare examples of how you've mentored teams or led projects in the past. Highlighting your experience in guiding cross-functional teams will resonate well with the interviewers.
✨Align with Business Objectives
Understand how data and AI strategies align with business goals. Be ready to discuss how you’ve previously integrated technology solutions that support strategic objectives. This shows that you think beyond just the tech and understand its impact on the business.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles, especially around data security and compliance. Practising your responses will help you articulate your thought process clearly during the interview.