Own the relationship between Enterprise Architecture and delivery, communicating in both directions: Informing the EA roadmap to make it fit for purpose and achievable Explaining how to implement it Take responsibility for specific components within the ecosystem. Hold and communicate the vision for how they will evolve to reach the target architectural state, reducing technical debt and stay in support. Produce solution options and technical designs for projects, consulting with scrums to ensure the designs are understood and viable. Play a hands-on technical role when required. Identify and proactively manage risks relating to the as is and to be technologies in the ecosystem. Technical Skills Enterprise standard architecture documentation Designing high quality and repeatable processes that result in low levels of production issues Awareness of industry best practice and new and upcoming technology trends Full solution architectural understanding across networking and software Experience of data programmes and data technologies, ideally gained within an enterprise scale organisation or within technology or development team or similar. Technical exposure to and/or experience in a range of technologies and architectural best practice concepts, specifically Data Engineering Design Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of implementations for Operational (near real time data management and analytics) and MI (‘aged’ data) data modelling and reporting Exposure and passion for new and emerging data technologies and trends Exposure to concepts of Data Governance (e.g. Data Quality, Data Management, Data Lineage, Data Lifecycle Management, Data Security)