At a Glance
- Tasks: Lead the design of scalable data platforms and advanced machine learning solutions.
- Company: Join a leading tech firm known for innovation and collaboration.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Hybrid working model with opportunities for professional growth and mentoring.
- Why this job: Shape the future of AI and data architecture while making a real impact.
- Qualifications: Expertise in data architecture and experience with cloud technologies required.
The predicted salary is between 70000 - 90000 £ per year.
Location: Newcastle Upon Tyne
Levels: Associate Manager
Please Note: Due to the nature of client work you will need to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application.
Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
Role Overview: As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define and drive data and AI strategies, architect intelligent data products, and ensure alignment with business objectives. Leveraging modern cloud, AI, and ML technologies, you will deliver robust, secure, and future-proof data architectures that enable business transformation.
- Strategic Leadership: Set the vision and direction for data and AI architecture for project and client. Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture. Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.
- Architectural Excellence: Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance. Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.
- AI & ML Leadership: Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products. Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.
- Technical Leadership: Oversee data modelling (e.g., medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).
- Stakeholder Engagement: Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps. Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.
- Innovation & Emerging Technologies: Apply modern data and AI architecture patterns (Cloud Native, Streaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.
Qualification Technical Expertise: Recognised as an expert in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks (Azure DevOps, GitHub Actions, Jenkins, Kubeflow) with experience of real world model lifecycle management. Infrastructure as Code (Terraform, Ansible) for data platform provisioning and management. Container orchestration (Kubernetes, Docker) in data and ML environments.
Certifications & Tools: Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow).
Other Requirements: Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles. Experience in both Agile and Waterfall project environments. Strong stakeholder management and communication skills. Security and compliance awareness. Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer). Experience mentoring or managing technical teams.
What’s in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
Data & ML Architect employer: 慨正橡扯
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data & ML Architect in our Newcastle office, you will benefit from a competitive salary, extensive benefits including 25 days of vacation and private medical insurance, and the opportunity to engage in meaningful charitable work. With a strong focus on employee growth and mentorship, you'll have the chance to lead cutting-edge projects while working alongside talented professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data architecture and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data and ML roles. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
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 StudySmarter.
We think you need these skills to ace Data & ML Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & ML Architect role. Highlight your experience with data architecture, machine learning, and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to showcase your technical expertise in your application. Mention specific tools and languages you’ve worked with, like Python, SQL, or Azure. We’re keen on seeing your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
As a Data & ML Architect, you’ll need to showcase your expertise in data architecture and machine learning. Brush up on the latest technologies like Azure, AWS, and GCP, and be ready to discuss how you've applied them in real-world scenarios.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare to discuss specific projects where you’ve designed scalable data platforms or implemented MLOps frameworks. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Leadership Skills
This role involves mentoring junior architects and influencing enterprise strategies. Be prepared to share examples of how you’ve led teams, fostered innovation, and driven best practices in data and AI architecture.
✨Engage with Stakeholders
Demonstrate your ability to translate complex technical concepts into business language. Prepare to discuss how you’ve engaged with senior stakeholders in the past and how you ensure solutions align with business objectives and compliance standards.
