Beschreibung
Für unseren Konzernkunden suchen wir zum nächstmöglichen Zeitpunkt Projektunterstützung im Bereich Big Data / Data Lakes.This role will help to define high-level logical data-lake architecture based on requirements of major stakeholders in two geographic locations (regional units) as well as central requirements shared between the two regional units.
A central technical infrastructure is in place and this logical architecture will sit on top of the existing technology / cloud stack.
Definition of ownership of various roles, including authorization, governance and target operating model will be required.
Deliverables:
Define the use cases for the Data Lake
Review / Redesign existing Data Lake logical storage definition and architecture
Define the patterns of data provisioning processes to Data Lake
Define the patterns of data distribution processes from Data Lake to the downstream systems
Provide the baseline to set up the Data Lake support organization
Analyze and document the existing data integration with Data Lake
Define the segregation of duties to ensure that the Data Lake is compliant with GDPR and other regulations Support for definition of the data architecture within the data programme
Support for management of the metadata within the data programme
Profile:
About 10-years work experience in projects / roles focused on building strong, consistent data capabilities
Significant experience of working for a large multinational in an agile environment (SAFe)
Significant experience in designing or building Data Lake / Data Warehouse solutions
Significant Data Architecture experience: data modelling, defining data standards, managing meta data
Experience in designing or building integrations between the systems, ideally in SaaS model
In-depth understanding of at least one of the major systems in the landscape (Salesforce Sales & Services; PowerCloud; Gentrack-Velocity; OpenText)
Profound understanding of software architectures and solution integration based on SaaS
Very good communication skills and stakeholder management
Skills:
Significant Data Lake / Data Warehouse Experience
Data integration experience, ideally in SaaS model
Experience translating business requirements to Data Lake requirements / architectures
Start: .
Dauer: 31.12.2019 mit Verlängerungsoption
Ort: München/Ruhrgebiet/Nottingham (UK)
Reference :CR/075183 Duration :31.12.2019 Location : München, Essen, Nottingham Languages : Deutsch, Englisch emagine GmbH Baudendistel, Damian T : F :