At a Glance
- Tasks: Lead the design of scalable data platforms and advanced machine learning solutions.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Hybrid working model with opportunities for career growth and mentoring.
- Why this job: Work with cutting-edge tech and drive impactful data and AI strategies.
- Qualifications: 8+ years in data architecture and client-facing roles, with strong technical skills.
The predicted salary is between 60000 - 80000 £ per year.
Role: Data & ML Architect
Location: Newcastle Upon Tyne
Levels: Associate Manager
Please Note: Due to the nature of client work you will be undertaking, you will need to be willing 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.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next‑generation technology to each business challenge. Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients. You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. As part of our global team, you’ll be working with cutting‑edge technologies and will have the opportunity to develop a wide range of new skills on the job.
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.
Key Responsibilities
- 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 safely and responsibly.
- 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.
- 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 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 in client‑facing roles specializing in Data and Architecture.
- 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 Architect / Senior Data Engineer - Newcastle in Newcastle upon Tyne employer: Accenture UK & Ireland
Accenture is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Newcastle Upon Tyne. With a strong commitment to employee growth, you will have access to cutting-edge technologies and extensive training opportunities, alongside a competitive benefits package that includes generous vacation time and support for charitable initiatives. Join us at our Advanced Technology Centre, where your contributions will drive meaningful change and shape the future of data architecture and machine learning.
Contact Details:
Accenture UK & Ireland Recruitment Team
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