Data Architect
hace 2 semanas
About Visium
We're a company that enables enterprise executives to define their AI & Data strategy, execute large-scale transformations, and implement AI across operations. Our mission is to pioneer a bright future and build future-proof and ethical organizations.
We're seeking a skilled and detail-oriented Data Modeler to join our dynamic Data Engineering & Cloud team.
The ideal candidate will have a strong background in data modeling, database design, and data architecture. As a Data Modeler, you will be responsible for designing and implementing robust data models that ensure data integrity, scalability, and performance across various systems and applications.
Key Responsibilities
- Design and develop conceptual, logical, and physical data models to meet the needs of business processes and technical requirements
- Work closely with database administrators, data engineers, and software developers to implement data models into physical databases
- Collaborate with data engineers and ETL developers to ensure seamless data integration from various sources into the data warehouse
- Develop and maintain data architecture standards, ensuring consistency, scalability, and reusability across data models
- Document data models and maintain metadata repositories to ensure data governance and easy data discovery
- Work with data governance teams to implement data quality rules and ensure high data accuracy and consistency
- Optimize database performance by refining data models, indexing strategies, and query performance
- Engage with business stakeholders, analysts, and other technical teams to understand data requirements and provide solutions that meet business needs
- Stay up to date with the latest trends and tools in data modeling, database management, and data architecture to recommend best practices and innovative solutions
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Minimum of 5 years of experience in data modeling, database design, and data architecture
- Proven experience with Data Vault and Kimball modeling
- Experience with relational and non-relational databases (e.g., SQL, NoSQL)
- Hands-on experience with data warehousing solutions, data lakes, and big data technologies
- Familiarity with data governance, data quality, and metadata management practices
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