Big Data Architect
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Job Description
Big Data Architect focusing on data solutions, data products, and real-time streaming architectures. Collaborating in a fast-paced environment with emphasis on Agile practices.
Responsibilities:
- Experience designing data solutions following Agile practices and SAFe methodology.
- Experience designing for testability, deployability and releaseability.
- Experience with rapid prototyping, data modelling and decentralised innovation.
- Experience working on data products and data-intensive applications.
- Experience working with Data Mesh architecture.
- Experience designing real-time streaming architectures.
- Experience hosting and managing applications through Kubernetes.
- DataOps mindset, allowing system architecture to evolve continuously while supporting the needs of current users.
- Ability to create and maintain the Architectural Runway and Non-Functional Requirements.
- Experience designing Continuous Delivery Pipelines and CI/CD data pipelines.
- Ability to enable built-in quality and security from the beginning.
- Understanding and use of at least one recognised architecture framework or standard, such as TOGAF or Zachman Architecture Framework.
- Ability to apply data, research, professional judgement and experience to ensure products make the biggest difference to consumers.
- Excellent written, verbal and social skills.
- Ability to interact with user-experience designers, developers, managers, marketers and other stakeholders.
- Ability to work independently in a fast-paced, multi-project environment with minimal supervision.
Requirements:
- Experience designing data solutions following Agile practices and SAFe methodology.
- Experience designing for testability, deployability and releaseability.
- Experience with rapid prototyping, data modelling and decentralised innovation.
- Experience working on data products and data-intensive applications.
- Experience working with Data Mesh architecture.
- Experience designing real-time streaming architectures.
- Experience hosting and managing applications through Kubernetes.
- DataOps mindset, allowing system architecture to evolve continuously while supporting the needs of current users.
- Ability to create and maintain the Architectural Runway and Non-Functional Requirements.
- Experience designing Continuous Delivery Pipelines and CI/CD data pipelines.
- Ability to enable built-in quality and security from the beginning.
- Understanding and use of at least one recognised architecture framework or standard, such as TOGAF or Zachman Architecture Framework.
- Ability to apply data, research, professional judgement and experience to ensure products make the biggest difference to consumers.
- Excellent written, verbal and social skills.
- Ability to interact with user-experience designers, developers, managers, marketers and other stakeholders.
- Ability to work independently in a fast-paced, multi-project environment with minimal supervision.
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