Data Architect

Experience in Data & Analytics work - Data Warehousing, ETL, Visualization, Collaboration, Platforms
Knowledge, experience and skills in the required technologies for the project / assignment - this includes several Cloud tools and technologies
Knowledge, experience and skills in the required data domains
Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.
Design plans to meet current and long-term data requirements
Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope