Data Architect

Data Architect (fully remote)

Salary: £85,000 + company benefits

Full time – Permanent

Must be able to gain SC Clearance

Job Purpose:

To work within a team of architects providing support to core infrastructure and business led projects, providing specific data architecture expertise to solution and enterprise architects.

The person appointed will be an integral member of the Architecture Team and will be responsible for ensuring that all initiatives explicitly consider data as part of their approach, and that all elements of the data life-cycle are adequately provisioned. They will also be expected to be involved in the design and implementation of the enterprise data strategy, ensuring the strategy supports the current and future business needs. The role will involve collaborating with Business and IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business.

Major Tasks and Activities:

Develop and evolve the enterprise data strategy to support delivery of corporate objectives Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise data strategy Be a key influencer to core system development decisions around the storage, integration, aggregation and access of data across the Picasso landscape Contribute to creating a framework of principles to ensure data integrity across the business (including but not limited to ERP, BI, Data warehouse, external interfaces etc.) Guide the organisation to make appropriate business, technology and data decisions by recommending reuse, sustainability and scalability, to achieve value for money and reduce risk Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies. Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, interface catalogues, and taxonomy to aid data traceability Design enterprise level data ontologies that support main business initiatives e.g. asset management, training and MRO

Qualification and Experience:

Experienced IT professional A bachelor’s degree in information technology or a related field. Experience in system architecture Excellent technical and analytical skills Strong communication and interpersonal skills. Good leadership and motivational skills. Experience in modelling and graphic representations Customer facing consultancy Senior Stakeholder management Technical qualifications e.g., MCSE, CCNA, TOGAF Demonstrable knowledge and experience of contributing to technical solutions for large scale complex projects A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Azure Data Factory, Data Lake, other analytics products Experience of architecting data solution across hybrid (cloud, on premise) data platforms Experience implementing data solutions Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including; normalisation, OLAP / OLTP principles and entity relationship analysis Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output Possess in-depth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on premise solutions Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & Inmemory stores Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment Working with environments complying with government JSP 604 Standards Experience of designing solutions that are accredited by external bodies such as MoD, and supporting Information Assurance in gaining accreditation Use of Architectural Toolset for design, process & lifecycle management (e.g. Sparx EA, Lean IX, System Architect, etc)

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