Data & ML Architect

We are committed to fostering equal opportunities, with diversity, inclusion, and fairness forming a fundamental part of both our client engagements and internal workplace culture.

As a Data & ML Architect, you will be responsible for…

Strategic Leadership:

• Setting the vision and direction for data and AI architecture for project and client.
• Influencing 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:

• Architecting and designing enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.
• Defining and enforcing data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.
• Leading solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.
• Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.
• Overseeing the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.
• Evaluating and recommending emerging AI/ML technologies and platforms, driving innovation in intelligent data products.
• Providing Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.

Technical Leadership:

• Overseeing data modelling (e.g. medallion architecture), data governance, and quality frameworks.
• Implementing technical reviews and driving high standards.
• Collaborating with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.
• Guiding the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).

Stakeholder Engagement:

• Engaging with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.
• Ensuring all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.
• Applying modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leveraging platforms such as AI/ML, Big Data, and Data Lakehouse.

What you already have…

• 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.

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