Role purpose:
The Analytics Lead Engineer will be responsible for the detailed design of all analytics solutions used across Commercial, Finance, VOIS and other tenants on the GCP Data Ocean following Vodafone Architecture, Privacy by Design & Security by Design guidelines and bringing industry best practices by working with multiple stakeholders (e.g. Design Authority, Analytics Center of Excellence).
The lead will work closely with delivery teams (e.g. Cloud Platform Engineers, Data Engineers, Product Owners) on day to day basis to understand requirements and supporting delivery & PoCs.
Key accountabilities and decision ownership:
• Maintains strong understanding of the capabilities, strengths and weaknesses of the key BI & Analytics services technologies across Vodafone, available on the market and in particular GCP
• Own the overall solution strategy for BI & Analytics and design for re-use. Maintains oversight and governance of data, technical design decisions.
• Ownership of the end-to-end solution design for main programmes like: Neuron, Nucleus and cloud migrations, Dynamo, AI Booster
• Line manages, guides, coaches & develops the team of Senior Solution Engineers
• Strong alignment with architecture, platform, and delivery teams
Core competencies, knowledge and experience:
• Extensive practical experience of implementing large scale BI & Analytics systems utilising cloud and high-volume/low cost storage capabilities.
• Extensive in-depth knowledge of a broad spectrum of BI, Analytics and Data Movement technologies on cloud and on prem
• Extensive experience of designing, building, and deploying re-usable and configurable solutions
• Able to communicate and influence effectively across a rangeof technology stakeholders at the highest level e.g. C level at Group and Markets level
• Mentor and coach to develop their team and wider community.
• Experience in working Safe Agile delivery framework.
Must have technical / professional qualifications:
• Cloud Architecture/Network/Security certification (AWS/GCP)
Job ID: 106126
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