Descrição da Vaga
DATA ARCHITECT / ENTERPRISE (REMOTE OR HYBRID) PCK82G
DATA ARCHITECT / ENTERPRISE (REMOTE OR HYBRID)
Portuguese company hires for remote / hybrid work
Working Model: Remote or Hybrid Portugal
Language Requirements: Fluent Portuguese / English B2
Seniority: 5 years
Sector: IT
Instructions: Please send your CVs in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.
Enterprise data architecture for a functional domain or for a product group. Design and governs delivery of the Domain Data Architecture / ensures delivery as per design. Ensures consistency in approach for the data modelling of the different solutions of the domain. Design and ensure delivery of data integration across the solutions of the domain.
General Expertise:
- Critical: Methodology expertise on data architecture and modeling – from business requirements and functional specifications to data modeling.
- Critical: Data warehousing and Business intelligence data products modeling (Inmon/Kimball/Data Vault/Codd modeling patterns).
- Business/Functional knowledge of the domain. This requires business terminology understanding, knowledge of business processes related to the domain, awareness of key principles and objectives, business trends and evolution.
- Master data management / data management and stewardship processes awareness.
- Data persistency technologies knowledge: SQL (Ansi-2003 for structured relational data querying & Ansi-2023 for XML, JSON, Property Graph querying) / Snowflake specificities, database structures for performance optimization. NoSQL – Other data persistency technologies awareness.
- Proficient level of Business English & "Technical writing"
- Nice to have: Project delivery expertise through agile approach and methodologies experience/knowledge: Scrum, SAFe 5.0, Product-based-organization.
Technical Stack expertise / Must be clearly listed on your CV
- SAP PowerDesigner modeling (CDM, LDM, PDM)
- Snowflake General Concepts and specifically DDL & DML, SnowSight, Data Exchange/Data Sharing concepts
- AWS S3 & Athena (as a query user)
- Confluence & Jira (as a contributing user)
- Nice to have: Bitbucket (as a basic user)
#CP