Description
You will design and implement data architecture and modeling solutions across relational, dimensional, and NoSQL platforms.
Responsibilities
- Develop conceptual, logical, and physical data models for RDBMS, ODS, data marts, and data lakes.
- Design reusable REST API models to consume and push data to MongoDB or similar technologies.
- Lead model reviews to ensure solutions satisfy immediate and future requirements while maintaining industry standards.
- Define and govern data modeling standards, tools, and best practices for enterprise models.
- Collaborate with stakeholders to document requirements, achieve data standardization, and support data governance.
Required Skills
- 8-10 years of data modeling experience.
- 5+ years of hands-on experience with relational, dimensional, and analytic modeling.
- Specialized technical knowledge of MongoDB architecture, platform, and schema configuration.
- Proficiency with NoSQL data platforms, ETL, and data ingestion protocols.
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts.
- Expertise in metadata management and modeling tools such as Erwin or ER Studio.
- Experience with database security management.
- Knowledge of MongoDB administration and installation on AWS and Red Hat.
Preferred Skills
- Strong SQL/NoSQL skills for building data flows and Big Data integration.