Big Data Architect

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 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

Technologies

• AWS
• Azure
• Azure Synapse
• NiFi
• RDS
• Apache Spark
• Apache Kafka
• Azure Databricks
• Azure Data Lake Storage
• Power BI
• Reporting Analytics
• SQL On-Premises Data Warehouse
• BSS
• OSS
• Enterprise Support Systems