Senior Data Architect

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Data Analysis Data Storage Technologies Analytical Thinking Data Processing Networking Research Automation Computer Networks Customer Demand Planning Data Architecture Data Security Labeling Raw Data Radar



Data Analysis: To establish the future data analysis capability requirements, it will be necessary to investigate the typical needs, benefits and issues related to using enhanced analytical techniques for data. To understand these elements there is a requirement to develop an Automated Data Analysis Technical Demonstrator to demonstrate the benefits Auto-mated Data Analysis can bring whilst simultaneously learning from the development process, understanding any barriers to future progress and identifying the key dependencies and enablers needed to realise the To-Be' state. It is acknowledged that currently data analysis can be inefficient and rely on manual processes, with poor use and re-use of data, therefore benefits may include more efficient analysis but also more effective analysis, doing more with the data collected and gaining richer insight. In the initial scoping phase of the project will focus on the processing of Radar Cross Section data, investigating how the automation of Data Processing and Analysis in this area could be improved.

Data Repository: In order to establish the future data storage capability; including how the data is tagged for retrieval purposes, identify options (based on best practice from industry) for being able to deliver the future data storage requirements

Data Networks: To investigate the data connectivity requirements. This is to provide a clear understanding of the requirements for connectivity and networking between sites, storage and enhanced analysis. This investigation should consider the different needs for connectivity, raw data, process data, information and live signal federation. As part of 'connectivity' requirement review, capture information on the types, format and tagging of the data.

Skills and Experience Required

The candidate, as a technical partner, will need to be able to work closely with subject matter experts from across industry, providing guidance and direction to ensure the output efficiently and effectively meets the customer needs. Therefore, they do not require to be able to solve all the technical issues themselves but should have suitable knowledge and experience of:

Facilitating, managing or leading within a multi-discipline environment

Modern data storage, networking and analytical approaches and methods (it would be advantageous but not necessary for this knowledge to be within defence).

Defence requirements for data security and integrity

Data strategies and/or policies including how they are implemented and managed (it would be advantageous if they have exercised this themselves, but as a minimum they need a clear appreciation of the key elements required)

It would be advantageous if they have knowledge of the types and volume of evaluation data generated and analysed within defence.

If you feel you have the skills and experience needed for this role; please do apply now.

Start date
220 days over 11 months
Parker Shaw
Published at
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