🕒 3 days ago
Design and support Snowflake-based cloud data warehouse solutions, building data models and ETL pipelines, integrating diverse sources, and guiding client implementations with secure, scalable data practices.
Big Data Architect
📅 Aug 3
Big Data ArchitectureAgileSafeData Modelling
📜 Description
- Design data solutions using Agile practices and SAFe methodology, with testability, deployability, and releaseability in mind.
- Develop data products and data-intensive applications, including rapid prototypes and data models.
- Design Data Mesh and real-time streaming architectures, and host and manage applications through Kubernetes.
- Create and maintain the Architectural Runway and Non-Functional Requirements; design Continuous Delivery and CI/CD data pipelines.
- Apply a DataOps mindset to evolve system architecture while supporting current users and embedding quality and security.
- Collaborate with designers, developers, managers, marketers, and other stakeholders to guide products using data, research, and professional judgement.
🛠️ Requirements
- Experience with Agile, SAFe, data modelling, rapid prototyping, and decentralised innovation.
- Experience with Data Mesh, real-time streaming architectures, Kubernetes, and data products or data-intensive applications.
- Experience designing Continuous Delivery Pipelines and CI/CD data pipelines; familiarity with DataOps and architectural quality and security.
- Knowledge of a recognised architecture framework or standard, such as TOGAF or Zachman Architecture Framework.
- Strong written, verbal, and interpersonal skills; able to work independently across multiple projects with minimal supervision.
- Ability to interact effectively with cross-functional stakeholders.
Full job description
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.
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
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