Sr. Data Architect
Tasks
- Administer Informatica SaaS data integration solutions
- Analyze business requirements
- Apply regulatory guidelines and best practices
- Author technical specifications for data pipelines and integrations
- Build dimensional and entity relational models
- Define data architecture standards and principles
- Design data engineering solutions
- Design data marts and data warehouses
- Design enterprise data architecture
- Design graph data models
- Develop data and analytics frameworks
- Develop data pipelines and transformations
- Drive continuous improvement
- Ensure data normalization standards
- Establish data governance and catalogs
- Facilitate knowledge sharing and problem solving
- Lead cross-functional project teams
- Model hierarchical relational object oriented data
- Support and maintain data integration solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Cloud services | Data Architecture | Data Catalogs | Data Governance | Data Marts | Data Modeling | Data Normalization | Data Pipelines | Data Transformations | Data Validation | Data Warehousing | Data integration | Dimensional Modeling | Enterprise Architecture | Entity Relational Modeling | Graph Databases | GxP | IICS | Informatica Intelligent Cloud | Informatica Intelligent Cloud Services | Intelligent Cloud Services | Kanban | Multi Site Program Management | Multi-site | Object-Oriented | Object-oriented modeling | Program Management | Relational databases | Relational modeling | Scrum | Scrum ban
Education
Roles
Regions
Countries
States
Cities
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