Cloud Data Architect

At Vintti, we're redefining the economics of staffing for US businesses. Our agency connects SMBs, startups, and firms with top Latin American talent, offering a dual benefit of high-quality work and cost savings. By tapping into this rich talent pool, our clients can optimize their budgets, increase productivity, and gain a competitive advantage in their respective markets.

A Cloud Data Architect is a pivotal role in modern IT and business landscapes, specializing in designing, implementing, and managing cloud data solutions that enable organizations to efficiently store, process, and analyze large volumes of data. They create scalable, secure, and cost-effective cloud architectures that support data governance and compliance requirements. By leveraging their expertise in cloud platforms, data modeling, and analytics, Cloud Data Architects ensure seamless integration and optimal performance of cloud-based data systems, enabling businesses to derive actionable insights and drive informed decision-making.

- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data architecture or related roles
- Extensive knowledge of cloud platforms such as AWS, Azure, or Google Cloud
- Proficiency in designing and implementing data architectures using cloud technologies
- Hands-on experience with cloud-based data warehouses, lakes, and storage solutions
- Strong understanding of data modeling, ETL processes, and data pipeline optimization
- Experience with data governance, security, and privacy practices
- Familiarity with CI/CD pipelines and automated data workflows
- Proficiency in SQL, Python, and other relevant programming languages
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- High-level understanding of regulatory requirements such as GDPR, CCPA, etc.
- Proven ability to mentor and provide technical leadership to teams
- Experience with performance tuning and troubleshooting in cloud environments
- Up-to-date knowledge of industry trends and best practices in cloud data architecture
- Ability to conduct cost analysis and optimize cloud data services
- Strong documentation skills for data architectures and processes
- Experience in integrating disparate data sources for unified data environments

- Design and implement cloud-based data architectures and solutions
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications
- Develop and manage cloud-based data warehouses, lakes, and storage solutions
- Optimize data models, pipelines, and ETL processes for performance and scalability
- Establish and enforce data governance policies and procedures
- Monitor cloud infrastructure and data systems to ensure high availability and reliability
- Conduct performance tuning and troubleshooting of cloud data systems
- Integrate disparate data sources into a cohesive and accessible data environment
- Provide technical leadership and mentorship to data engineering teams
- Ensure compliance with data security and privacy regulations
- Conduct cost analysis and optimization for cloud data services
- Automate data workflows and deployment processes using CI/CD pipelines
- Evaluate and recommend new cloud technologies and tools
- Create and maintain comprehensive documentation for data architectures and processes
- Participate in regular team meetings to discuss project progress and updates
- Collaborate with product development, analytics, and business intelligence teams to support data-driven initiatives
- Stay updated on industry trends and best practices in cloud data architecture

The ideal candidate for the Cloud Data Architect role is a highly skilled and experienced professional with a strong technical acumen in cloud data architecture and a proactive, innovative mindset for designing scalable solutions. They possess a bachelor's degree in Computer Science, Information Technology, or a related field, coupled with over five years of hands-on experience in data architecture and cloud technologies such as AWS, Azure, or Google Cloud. They excel in designing and implementing robust data models, warehouses, lakes, and storage solutions, with a deep understanding of ETL processes, data pipeline optimization, and performance tuning. This individual is well-versed in data governance, security, and privacy practices, and has a high-level understanding of regulatory requirements like GDPR and CCPA. With strong programming skills in SQL, Python, and other relevant languages, they are adept at automating data workflows using CI/CD pipelines. The ideal candidate is an effective communicator and collaborator, capable of translating complex technical specifications to stakeholders and providing technical leadership and mentorship to data engineering teams. They exhibit excellent analytical and problem-solving abilities, a commitment to continuous learning, and a keen attention to detail. Demonstrating strong organizational skills and the ability to prioritize tasks effectively, they thrive in dynamic environments, adapt swiftly to changing technology trends, and maintain a high degree of responsibility and ownership of projects. The perfect fit is a strategic thinker dedicated to optimizing performance and cost-efficiency, seamlessly integrating diverse data sources into unified systems, and upholding data security and compliance standards with a passion for delivering high-quality solutions.

- Design and implement cloud-based data architectures and solutions
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications
- Develop and manage cloud-based data warehouses, lakes, and storage solutions
- Optimize data models, pipelines, and ETL processes for performance and scalability
- Establish and enforce data governance policies and procedures
- Monitor cloud infrastructure and data systems to ensure high availability and reliability
- Conduct performance tuning and troubleshooting of cloud data systems
- Integrate disparate data sources into a cohesive and accessible data environment
- Provide technical leadership and mentorship to data engineering teams
- Ensure compliance with data security and privacy regulations
- Conduct cost analysis and optimization for cloud data services
- Automate data workflows and deployment processes using CI/CD pipelines
- Evaluate and recommend new cloud technologies and tools
- Create and maintain comprehensive documentation for data architectures and processes
- Participate in regular team meetings to discuss project progress and updates
- Collaborate with product development, analytics, and business intelligence teams to support data-driven initiatives
- Stay updated on industry trends and best practices in cloud data architecture

- Strong technical acumen and expertise in cloud data architecture
- Proactive and innovative mindset for designing scalable solutions
- Excellent problem-solving abilities and analytical thinking
- Strong leadership and mentorship capabilities
- Effective communication and collaboration skills
- Adaptability to rapidly changing technology and industry trends
- Keen attention to detail and commitment to high-quality work
- Ability to think strategically and translate business needs into technical solutions
- High degree of responsibility and ownership of projects
- Demonstrated ability to work independently and in cross-functional teams
- A passion for continuous learning and professional development
- Strong organizational skills and ability to prioritize tasks effectively
- Commitment to maintaining data security and adhering to compliance standards
- Ability to seamlessly integrate diverse data sources into unified systems
- Dedication to optimizing performance and cost-efficiency in cloud environments

- Competitive salary range: $120,000 - $180,000 per year
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement savings plan with company match
- Flexible work hours and remote work options
- Generous paid time off (PTO) and holidays
- Professional development opportunities and continuous learning programs
- Reimbursement for relevant certifications and training
- Employee wellness programs and resources
- Paid parental leave and family-friendly benefits
- Performance-based bonuses and incentives
- Stock options or equity participation (if applicable)
- Access to cutting-edge technology and tools
- Collaborative and inclusive work environment
- Opportunities for career growth and advancement
- Regular team-building events and activities
- Employee recognition and rewards program
- Access to on-site gym or wellness facilities (if applicable)
- Company-sponsored social events and networking opportunities
- Health and wellness stipends or allowances
- Transportation and commuting benefits (if applicable)