2 of 2 Architecture Governance Jobs in the Thames Valley

architectural significance Formulating the data model and standards to be used by the data platform to support interoperability and federation to support pathogen monitoring and research Communicating the data architecture to various stakeholder groups within EIT Developing data architectures including different data flows, data lifecycle, data security, durability, as well as applying consistent documentation standards and architecture methods … Supporting developers and making sure they can realise the data architecture by a combination of mentoring and direct involvement Responsible for producing architecture artifacts and presenting the work through architecture governance Verifying implementations and ensuring the delivered systems is consistent with the agreed architecture and meets requirements Defining architecture data standards are defined to … Accreditation (where relevant) Ensuring that squads have available a set of standard patterns, guidance, and technical standards to help them deliver Ensuring solutions are documented and assured through defined architecture governance processes Essential Knowledge, Skills and Experience: Knowledge and experience of architecting and delivering modern data platform standards, tools and patterns including data lakes, lake houses, iceberg, data More ❯

on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security, interoperability, and performance. Guide development teams and mentor data engineers and analysts on best practices. Participate in reviews of proposed designs, providing input … into architecture governance and assurance processes. Skills and Experience: Experience working with UK Government departments or public sector bodies. Strong experience designing and implementing data architectures on AWS platforms. Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. Familiarity with data modelling standards, metadata management, and data governance. Knowledge of More ❯