3 views
SNI
Job details:
Scope:
Microsoft Fabric - Client & Project: We are seeking for a new talent to join the Data & AI team where you will have the opportunity to collaborate in the Business Platform project.
Project: MS Azure architecture design, MS Fabric experienced + enterprise data modelling experience
Client is a leading automotive manufacturer known for its innovative and sustainable solutions.
Methodology: Agile
Skills:
Job details:
Scope:
Microsoft Fabric - Client & Project: We are seeking for a new talent to join the Data & AI team where you will have the opportunity to collaborate in the Business Platform project.
Project: MS Azure architecture design, MS Fabric experienced + enterprise data modelling experience
Client is a leading automotive manufacturer known for its innovative and sustainable solutions.
Methodology: Agile
,[ As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing the design, encompassing the relevant data platform components. , You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. , In this role, you are expected to be an SME, collaborate and manage the team to perform. , You will be responsible for team decisions and will engage with multiple teams and contribute to key decisions. , Additionally, you will be expected to providesolutions to problems that apply across multiple teams. , Strategic Data Platform roadmap shaping, Complex Data Architecture design , Documentation of developer guidelines, Extend Data Ingestion development , Supporting integration, aurora and other internal systems as needed , Continuous improvement Improving existing setup and landscape, for example (but not limited to): Onboarding users, Security enhancements, Data Platform extensions, Workspace Management, Data Catalogue and Training paths, Identity & Access Management model documentation, Starting Purview design ] Requirements: Fabric, AI, MS, Azure, Data modelling, Data models, Apache Aurora, Security, Agile, Cloud, Azure Data Factory, Databricks