Data Architect
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Job Location:
Warsaw, IN - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Details:
Mandatory Skills:
1. Strong expertise in data modelling techniques
2. Knowledge of cloud platforms
3. Familiarity with data integration tools and patterns
4. Understanding of data security and privacy principles
5. Experience with Data lakes / lakehouse architectures
Data Architecture
Design end to end data architecture (conceptual logical physical)
Define enterprise data standards patterns and best practices
Align data architecture with:
o Business strategy
o Cloud and platform strategy
o Security and compliance requirements
Support architecture for:
o Data warehouses / lakehouse
o Data mesh / domain-oriented data products
o Real-time and batch data processing
Review and approve data design decisions across projects
Data Modelling
Create and maintain:
o Conceptual data models (business view)
o Logical data models (entities relationships)
o Physical data models (tables columns indexes)
Develop models for:
o OLTP systems
o Data warehouse (Dimensional Star/Snowflake schemas)
o Data lakes (schema-on-read/write)
Ensure data models are normalized optimized and extensible
Manage schema evolution and versioning
Mandatory Skills:
1. Strong expertise in data modelling techniques
2. Knowledge of cloud platforms
3. Familiarity with data integration tools and patterns
4. Understanding of data security and privacy principles
5. Experience with Data lakes / lakehouse architectures
Data Architecture
Design end to end data architecture (conceptual logical physical)
Define enterprise data standards patterns and best practices
Align data architecture with:
o Business strategy
o Cloud and platform strategy
o Security and compliance requirements
Support architecture for:
o Data warehouses / lakehouse
o Data mesh / domain-oriented data products
o Real-time and batch data processing
Review and approve data design decisions across projects
Data Modelling
Create and maintain:
o Conceptual data models (business view)
o Logical data models (entities relationships)
o Physical data models (tables columns indexes)
Develop models for:
o OLTP systems
o Data warehouse (Dimensional Star/Snowflake schemas)
o Data lakes (schema-on-read/write)
Ensure data models are normalized optimized and extensible
Manage schema evolution and versioning
