At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join a leading consulting practice focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and shape the future of AI and data solutions.
- Why this job: Make a real impact by transforming businesses with advanced AI and data strategies.
- Qualifications: 10-12 years in data analytics, with strong leadership and solution architecture experience.
The predicted salary is between 80000 - 100000 € per year.
We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting‑edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud‑native architectures that drive measurable business value.
Impact you deliver for our clients:
- Design and architect end-to-end AI and data solutions on Azure or AWS, leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data ingestion, processing, storage, analytics, and AI/ML capabilities.
- Define data governance frameworks, security protocols, and compliance standards aligned with industry regulations.
- Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements.
- Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries.
- Present complex technical concepts and solution roadmaps to both technical and non‑technical audiences.
- Lead architecture review boards and provide technical governance throughout project lifecycles.
- Oversee the implementation of data lakes, data warehouses, and lakehouse architectures.
- Ensure solutions are optimized for performance, cost‑efficiency, and scalability.
- Define integration patterns between cloud platforms, third‑party applications, and legacy systems.
- Actively contribute to practice development as a technical thought leader in AI and Data topics.
Required Qualifications:
- 10-12 years of experience in data and analytics, with at least 4 years in solution architecture roles.
- Strong team leadership skills with ability to inspire and coach a team of solution architects.
- Proven track record of architecting enterprise‑scale data solutions for organizations in consumer products, retail, health, energy or life sciences industries.
- Deep expertise in Microsoft Azure data and AI services or AWS Data and AI Services.
- Strong hands‑on experience with Snowflake and/or Databricks platforms.
- Experience leading large‑scale digital transformation or data modernisation migration programs with experience in cloud‑native data architectures including data lakes, data warehouses, and lakehouse patterns.
- Strong understanding of AI/ML frameworks, MLOps practices, and model governance including familiarity with DevOps/DataOps practices and CI/CD pipelines.
- Mentor junior architects and technical teams on best practices and emerging technologies.
- Stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies and identify opportunities for solution accelerators, reusable frameworks, and IP development.
- Prepare technical solutions and architectures as part of bid responses and proposals.
Preferred Qualifications:
- Deep understanding of industry‑specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry.
- Experience with domain‑specific use cases such as commercial, supply chain, finance or operations.
- Advanced level AI and Data architecture certification in Snowflake, Microsoft Azure, AWS or Databricks.
Soft Skills:
- Exceptional communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem‑solving capabilities.
- Ability to manage multiple client engagements simultaneously.
- Collaborative mindset with experience working in cross‑functional teams.
- Client‑facing consulting experience with Big 4 or similar professional services firms preferred.
Location: London or Manchester
AI and Data Solution Architect | Senior Manager in London employer: hackajob
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where collaboration and creativity thrive. As an AI and Data Solution Architect in London or Manchester, you will benefit from competitive remuneration, comprehensive training programmes, and opportunities for career advancement while working on impactful projects that shape the future of data and AI solutions. Our commitment to fostering a supportive environment ensures that you can grow your skills and make a meaningful contribution to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land AI and Data Solution Architect | Senior Manager in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and data solutions. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI and data architecture. Use platforms like GitHub or personal websites to display your work. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to AI and data solutions. Be ready to discuss your experience with Azure, AWS, Snowflake, and Databricks. Show them how you can bridge business needs with technical execution!
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through us not only shows your interest but also helps you stand out. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI and Data Solution Architect | Senior Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI and data solutions, especially with Azure or AWS, to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and data architecture. Share specific examples of how you've led projects or solved complex problems in previous roles to grab our attention.
Showcase Your Technical Skills:Don’t shy away from detailing your hands-on experience with platforms like Snowflake and Databricks. We want to see how you’ve applied your technical knowledge in real-world scenarios, so be specific!
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 during the process.
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure, AWS, Snowflake, and Databricks. Brush up on your knowledge of data lakes, warehouses, and AI/ML frameworks so you can confidently discuss how you've used them in past projects.
✨Prepare Real-World Examples
Think of concrete examples from your experience that showcase your ability to design and implement data solutions. Be ready to explain how you’ve tackled business challenges and translated them into technical requirements, as this will demonstrate your strategic thinking.
✨Practice Your Presentation Skills
Since you'll need to present complex concepts to both technical and non-technical audiences, practice explaining your ideas clearly and concisely. Use visuals if possible, and be prepared to answer questions that may arise during your presentation.
✨Show Your Leadership Qualities
Highlight your experience in leading teams and mentoring junior architects. Be ready to discuss how you inspire and coach others, as strong leadership skills are crucial for this role. Share examples of how you've successfully managed multiple client engagements or led architecture review boards.
