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Chief Data Infrastructure Architect for The Tech Collective
1 month ago
The Tech Collective is a fast-growing consultancy that empowers organisations to unlock the potential of data, AI and analytics. We help businesses stay ahead in the digital era through co-creation and passionate advisory.
We are seeking an experienced Chief Data Infrastructure Architect to join our team. The ideal candidate will have a deep understanding of modern data stack technologies, cloud architecture, integration architecture, and data modelling. This role is crucial in designing and implementing scalable, robust, and secure data systems that support business objectives.
The successful candidate will be responsible for:
- Leading the design and implementation of modern data architectures, aligning with business objectives and best practices.
- Collaborating with data platform teams to develop operating models that ensure efficient data processing, integrations, reporting, and AI model deployment.
- Developing and managing cloud-based data solutions on platforms such as Microsoft Azure, GCP, or AWS, optimising cloud infrastructure for performance, cost, and scalability.
- Designing and implementing integration solutions that connect disparate business systems and data sources, ensuring seamless data flow across the organisation.
- Developing data models that support business processes, analytics, and reporting requirements, ensuring they are optimised for performance and scalability.
- Deploying analytics and AI solutions, integrating them into existing systems and processes, and providing guidance on best practices for model deployment and monitoring.
- Collaborating with cross-functional teams, including business stakeholders, data scientists, and IT, to understand data requirements and deliver solutions that meet business needs.
We are looking for a highly skilled professional with:
- Educational background: A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (master's degree preferred).
- Experience: At least 5 years of experience in data engineering, with a strong focus on cloud architecture, data integration, and data modelling.
- Technical expertise:
- Deep understanding of the modern data stack and its components.
- Proven experience with cloud platforms such as Microsoft Azure, GCP, or AWS.
- Strong skills in data modelling, ETL processes, and data integration, having been part of one or several data platform teams.
- Experience in deploying analytics and AI solutions in a cloud environment.
- Analytical skills: Exceptional problem-solving skills with the ability to design innovative solutions to complex data challenges.
- Communication skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
- Leadership ability: Proven ability to lead projects and mentor junior team members.
- Certifications: Relevant certifications in cloud technologies are a plus.
