Data Modeler

Vintti is a staffing agency that acts as an economic enabler. By connecting US-based SMBs, startups, and firms with top-tier Latin American talent, we drive growth on both sides of the equation. For US businesses, we offer access to a pool of highly skilled professionals at competitive rates, allowing for increased efficiency and scalability. For Latin American workers, we provide opportunities to engage with the US market, fostering professional development and economic advancement. Vintti stands at the intersection of global talent and American enterprise, facilitating partnerships that stimulate economic prosperity across borders.

A Data Modeler plays a crucial role in designing and implementing data models that define the structure, organization, and relationships of data in a database or information system. This involves working closely with business stakeholders to understand requirements and translating them into technical specifications, ensuring data consistency, quality, and accessibility. Additionally, Data Modelers optimize data systems for performance and maintain data integrity. They often collaborate with database administrators, developers, and analysts to create scalable models that support business needs and strategic goals. This role is essential for efficient data management and decision-making processes.

- Bachelor's degree in Computer Science, Information Systems, or a related field
- 3+ years of experience in data modeling, data architecture, or a related role
- Proficiency in data modeling tools such as Erwin, ER/Studio, or similar
- Strong understanding of database design concepts and principles
- Experience with SQL and database query languages
- Knowledge of data warehousing concepts and experience with data warehouse design
- Familiarity with BI tools such as Tableau, Power BI, or similar
- Strong analytical and problem-solving skills
- Excellent communication skills to collaborate with IT and business teams
- Attention to detail and accuracy in data modeling and documentation
- Understanding of data governance and data quality principles
- Experience with ETL processes and data migration projects
- Ability to work independently and manage multiple tasks simultaneously
- Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud) is a plus
- Experience with data lineage and metadata management
- Familiarity with programming languages such as Python or R is a plus
- Strong organizational skills and the ability to document processes and standards
- Ability to translate complex technical concepts for non-technical stakeholders
- Experience with Agile or other project management methodologies is a plus
- Commitment to continuous learning and staying current with data modeling trends and best practices

- Analyze and translate business needs into data models.
- Develop, implement, and maintain conceptual, logical, and physical data models.
- Ensure data models are optimized for performance, security, and integrity.
- Collaborate with database administrators to enhance database performance.
- Design and document data architecture, data flow diagrams, and other data-related documentation.
- Review and recommend improvements to existing data models.
- Gather requirements and define data strategies with IT and business teams.
- Validate business data objects for accuracy and completeness.
- Create and maintain data dictionaries and metadata repositories.
- Assist in developing and maintaining data mapping, data lineage, and transformation rules.
- Participate in initiatives to ensure data quality and consistency.
- Develop and enforce data modeling standards and best practices.
- Perform data profiling to identify anomalies, patterns, and data quality issues.
- Conduct training sessions on data modeling concepts and best practices.
- Provide support during data migration and ETL processes.
- Collaborate with BI developers and analysts to establish a robust reporting framework.
- Monitor and troubleshoot data model issues and implement solutions.
- Enhance data models to support new business requirements and data sources.
- Support ad-hoc data analysis requests.
- Participate in project planning and estimate data modeling activities.

The ideal candidate for the Data Modeler role is a detail-oriented professional with at least three years of experience in data modeling, data architecture, or a related field, holding a bachelor's degree in Computer Science, Information Systems, or a related discipline. They possess a deep understanding of database design concepts, performance optimization, and data integrity. Proficiency in data modeling tools such as Erwin or ER/Studio, as well as a strong command of SQL and database query languages, is essential. This candidate has hands-on experience with data warehousing, data governance, ETL processes, and data migration projects. They demonstrate robust analytical and problem-solving skills, along with the ability to communicate complex technical concepts to non-technical stakeholders effectively. Their familiarity with BI tools like Tableau or Power BI, coupled with knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud), positions them to implement scalable and efficient data models. The ideal candidate is proactive, innovative, and committed to continuous learning, ensuring they stay current with industry trends and best practices. They excel in a collaborative, cross-functional team environment and are adept at fostering teamwork, managing multiple priorities, and adhering to high standards and best practices. Strong organizational skills, ethical standards in data privacy and governance, and the ability to lead and conduct training sessions further distinguish this candidate as highly reliable and results-driven, poised to support data-driven decision-making processes and contribute significantly to the organization's success.

- Analyze and translate business needs into data models.
- Develop, implement, and maintain conceptual, logical, and physical data models to support data analysis and business intelligence.
- Ensure data models are designed for optimal performance, security, and data integrity.
- Collaborate with database administrators to optimize database performance.
- Design and document data architecture, data flow diagrams, and other relevant data-related documentation.
- Review existing data models to recommend improvements and optimizations.
- Work with IT and business teams to gather requirements and define data strategies.
- Validate business data objects for accuracy and completeness.
- Create and maintain data dictionaries and metadata repositories.
- Assist with the development and maintenance of data mapping, data lineage, and data transformation rules.
- Participate in data quality initiatives to ensure accuracy and consistency of data.
- Develop and enforce data modeling standards and best practices.
- Perform data profiling to identify and understand anomalies, patterns, and data quality issues.
- Conduct training sessions for business users on data modeling concepts and best practices.
- Provide support during data migration and ETL (Extract, Transform, Load) processes.
- Collaborate with BI developers and analysts to establish a robust data reporting framework.
- Monitor and troubleshoot data model issues and provide appropriate solutions.
- Enhance existing data models to support new business requirements and data sources.
- Support ad-hoc data analysis requests to drive decision-making.
- Participate in project planning and provide estimates for data modeling activities.

- Detail-oriented with a high degree of accuracy
- Strong analytical and critical thinking skills
- Effective communication and collaboration abilities
- Proficiency in leveraging data modeling tools and techniques
- In-depth understanding of data architecture principles
- Innovative problem solver with a proactive approach
- Commitment to high standards and best practices
- Ability to translate technical concepts into easy-to-understand terms
- Strong organizational skills and ability to manage multiple priorities
- Adept in fostering teamwork in a cross-functional environment
- Flexibility and adaptability to evolving business needs
- Passion for continuous learning and professional development
- Resilience and tenacity in overcoming data-related challenges
- Strong ethical standards in data privacy and governance
- Solid experience in working with diverse data sources
- Proven capability to support data-driven decision-making processes
- Agility in adopting new tools and technologies
- Reliable and self-driven with a results-oriented mindset
- Ability to lead and conduct training sessions effectively
- Skilled at developing and adhering to data modeling standards

- Competitive salary range based on experience
- Comprehensive health insurance (medical, dental, vision)
- Retirement savings plan with employer match
- Paid time off (vacation, sick leave, and holidays)
- Flexible work schedule
- Remote work options
- Professional development and continuous learning opportunities
- Tuition reimbursement for relevant courses and certifications
- Employee wellness programs
- Paid parental leave
- Employee assistance programs (EAP)
- Life and disability insurance
- Performance-based bonuses
- Stock options or equity participation
- Transportation and commuting benefits
- Access to cutting-edge data modeling and analytics tools
- Collaborative and innovative work environment
- Opportunities for career advancement and leadership roles
- Regular team-building and networking events
- Company-sponsored conferences and industry events attendance
- Ergonomic office equipment and modern workspaces
- Discount programs for various services and products
- On-site fitness center or gym membership reimbursement
- Charitable contribution matching programs.