Specialist Network Designer - Data Scientist (BM-10331)
Work with customers to define their big data storage and analysis requirements general and specific data strategies, solutions and technical guidance using industry standards and domain specific best practices.
Work with customers to understand the required data sources, such as contact centre, social media, internal/external documents, financial data, operational data, and their content that can be used to create the required big data source
Ability to identify or design the most appropriate data storage platform and import techniques
Knowledge and understanding of best of class data platforms and import techniques.
Understand the security requirements associated with the data and design and implement, as appropriate, the required security.
Ensure that proper data management is in place so that users are confident in the quality of the data.
Potentially leads a large matrix team (virtual) and is accountable for complex network development using innovative approaches to design (including cross-portfolio solutions). Leverages technical resource/s as required to deliver the solution
Identify and work closely with business stakeholders. Strong client facing and presentation skills, ability to work closely with customers to understand their data sources and requirements.
Home office is available in this role depending on further agreement
Good understanding of Databases & Cloud Storage and Data Lake Platform and good understanding and experience working in an Agile culture and adopting Agile methodologies.
Experience working on large, complex data environments with data controls (handling PCI, PII, Encryption, Decryption, 3rd party data-exchange and data import.
Data platform Dimensional Modelling including defining the Data Model Design and Naming standards
Experience in SQL, ETL processes and database tuning and performance
Experience designing, building and managing enterprise level data platforms and in delivering complex customer big data solutions. Experience of data platforms, including Cloud, and their architecture and capability.