Data Architect
hace 2 semanas
**Data Architect**
Establishes the rules for describing and completing a data valuation process for data objects. Creates ecosystem models (e.g. logical, canonical) that are required for supporting services within the enterprise data architecture.
Prepares data models; designs information structure & data flow; designs & validates ETL maps.
Ensures regulatory issues are considered surrounding information assets.
Recognizes and resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).
Ensures integration of the project logical data model into the ecosystem conceptual data model.
Ensures that physical models align with the logical data model.
Creates a framework for representing the data elements including entities, relationships, attributes.
Guides the implementation of a self-service and end-to-end BI solution to enable business insights.
Design of Data models in the Transactional Systems aligned to Information Architect advisory.
Defines database technology (e.g.: MS SQL, Oracle DB, Data Lake...) most suitable to host the data in each initiative.
Defines Data Test Strategy in projects;
Partners with Data & Analytics group to advise about Data Models
Is recognized as an expert in Data Warehouse, Business Intelligence area. Biotech / Pharma experience and TOGAF certification is a plus.
Exhibits strong soft skills typically required as an Architect (i.e.: presentation and public speaking, negotiation, challenging the status quo)
Exhibits an Agile mindset, i.e. Good enough instead of perfection and Focus on “Reuse before Buy before Make” when providing direction on future solutions
Is a good team player in a global environment.
Has practical experience in Business Intelligence data architecture - to suggest when using tabular structures, star schemes, views and extracts.
Has practical experience and knowledge of Big Data platforms - to suggest the best technology for storing and making data available: Oracle database, Hadoop (Cloudera, Hive, Impala).
Has Practical experience and solid knowledge on ETL tools: Alteryx and Informatica PowerCenter
Has practical experience and solid knowledge on Business Intelligence & Data Visualization tools: Tableau.
Experience setting up data sharing agreements
Good understanding of data input & output formats - APIs, extracts, user inputs etc
Experience defining observability rules and mechanisms
Experience in Insights, Data Products and Data Mesh Concepts and Information Architecture and Modeling
**Salary**: 90,000.00€ - 95,000.00€ per year
Ability to commute/relocate:
- Barcelona, Barcelona provincia: Reliably commute or planning to relocate before starting work (required)
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