Data Solutions Architect

At Vintti, we specialize in providing US businesses with staffing solutions that feel local. By connecting companies with Latin American professionals operating in compatible time zones, we ensure that work schedules align naturally with US business hours. This temporal harmony facilitates immediate response times, efficient project management, and a cohesive team dynamic regardless of physical location.

A Data Solutions Architect plays a critical role in designing and implementing robust data systems that empower organizations to harness and utilize their data effectively. They focus on creating data solutions that align with business goals, ensuring optimal data integration, storage, and retrieval processes. By leveraging advanced technologies and best practices, Data Solutions Architects develop scalable, secure, and high-performing architectures that support analytics, data warehousing, and data management needs. Their expertise helps drive data-driven decision-making and enhances organizational efficiency, ultimately contributing to sustainable growth and competitive advantage.

- Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field
- Minimum of 5 years of experience in data architecture, data engineering, or related roles
- Proficiency in SQL, NoSQL, and data modeling
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Expertise in data warehousing and ETL/ELT processes
- Strong knowledge of big data technologies such as Hadoop, Spark, or Kafka
- Familiarity with data governance, data quality, and data security best practices
- Experience with data integration tools like Informatica, Talend, or similar
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Proven ability to manage multiple projects and timelines simultaneously
- Experience with CI/CD pipelines and DevOps practices
- Solid understanding of API-based data access and integration
- Knowledge of machine learning concepts and data analytics
- Ability to work with both structured and unstructured data
- Experience with programming languages such as Python, Java, or Scala
- Familiarity with data visualization tools like Tableau, Power BI, or similar
- Certification in related platforms or technologies (optional but preferred)
- Strong organizational and project management skills
- Ability to mentor and guide junior team members
- Demonstrated ability to troubleshoot and resolve complex data issues
- Understanding of data storage solutions and cost management strategies
- Familiarity with disaster recovery and backup solutions

- Analyze and interpret complex data sets to provide actionable insights.
- Design and develop scalable data architecture solutions.
- Collaborate with stakeholders to understand requirements and design specifications.
- Implement data integration processes to consolidate information from disparate sources.
- Optimize and maintain existing data systems and infrastructure.
- Create and manage data models, schemas, and structures.
- Develop data governance policies and procedures.
- Perform data profiling and data mapping to identify anomalies.
- Oversee cloud and on-premises data environments.
- Provide technical guidance and mentorship to junior team members.
- Conduct performance tuning of data platforms.
- Evaluate and recommend new data tools and technologies.
- Coordinate with DevOps teams to automate data processes and implement CI/CD pipelines.
- Prepare and present technical documentation and reports.
- Troubleshoot and resolve complex data-related issues and disruptions.
- Participate in data strategy planning sessions.
- Monitor and manage data storage solutions.
- Develop and enforce best practices for data management.
- Design and implement disaster recovery and backup solutions.

The ideal candidate for the Data Solutions Architect role will have a robust background of at least five years in data architecture or data engineering, complemented by a Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. They will possess an advanced skill set in SQL, NoSQL, and data modeling, as well as experience with cloud platforms such as AWS, Azure, or Google Cloud. Their expertise in data warehousing, ETL/ELT processes, and big data technologies like Hadoop, Spark, or Kafka will be accompanied by a strong knowledge of data governance, data quality, and data security best practices. Adept at using data integration tools like Informatica or Talend, they will demonstrate superior analytical and problem-solving capabilities, balancing these with excellent communication and collaboration skills to work effectively with diverse stakeholders. This individual will exhibit a strategic mindset, proactively addressing potential issues, and embracing new technologies and methodologies. Their strong leadership and mentorship skills will be evident as they guide junior team members, while their solid understanding of CI/CD pipelines, DevOps practices, and API-based data integration will further distinguish them. Familiarity with machine learning concepts and data analytics, coupled with experience in programming languages such as Python, Java, or Scala, will be essential. The ideal candidate will also be proficient with data visualization tools like Tableau or Power BI, and possess the organizational prowess to manage multiple projects. They will display a high level of integrity in maintaining data security and compliance, and have a customer-focused approach that aligns data architecture with business objectives. Their resilience and ability to perform under pressure will ensure they meet tight deadlines, while their innovative approach and passion for data-driven solutions will continuously drive process optimization and improvement within the team.

- Analyze and interpret complex data sets using advanced analytics techniques to provide actionable insights.
- Design and develop scalable data architecture solutions to meet the organization’s needs.
- Collaborate with stakeholders, including data scientists, engineers, and business analysts, to understand requirements and design specifications.
- Implement data integration processes to consolidate information from disparate sources into a unified system.
- Optimize and maintain existing data systems and infrastructure to ensure high performance and availability.
- Create and manage data models, schemas, and structures to support analytical and operational processes.
- Develop data governance policies and procedures to ensure data quality and compliance with industry standards.
- Perform data profiling and data mapping to identify data anomalies and ensure accuracy and consistency.
- Oversee cloud and on-premises data environments to ensure data security and integrity.
- Provide technical guidance and mentorship to junior data team members.
- Conduct performance tuning of data platforms to enhance query performance and system efficiency.
- Evaluate and recommend new data tools and technologies to improve data architecture and analytics capabilities.
- Coordinate with DevOps teams to automate data processes and implement CI/CD pipelines for data projects.
- Prepare and present technical documentation and reports for project stakeholders and management.
- Troubleshoot and resolve complex data-related issues and service disruptions.
- Participate in data strategy planning sessions to align data architecture with business objectives.
- Monitor and manage data storage solutions to ensure cost-effectiveness and scalability.
- Develop and enforce best practices for data management and data lifecycle management.
- Design and implement disaster recovery and backup solutions for critical data systems.

- Analytical thinker with strong problem-solving skills
- Detail-oriented and precise in data management and analysis
- Proactive and able to anticipate potential issues before they arise
- Strong leadership and mentorship capabilities
- Excellent communicator with ability to convey complex information clearly
- Highly collaborative and team-oriented
- Adaptable and open to learning new technologies and methodologies
- Strategic mindset with a focus on long-term data architecture planning
- Innovative and forward-thinking with a passion for data-driven solutions
- Strong organizational and multitasking abilities
- High level of integrity and commitment to upholding data security and compliance
- Customer-focused attitude with a keen understanding of business needs
- Resilient with the ability to work under pressure and meet tight deadlines
- Enthusiastic about driving continuous improvement and optimizing processes

- Competitive salary range commensurate with experience
- Comprehensive health benefits including medical, dental, and vision insurance
- Flexible working hours and remote work options
- Generous paid time off (PTO) and holiday schedule
- Retirement savings plan with employer match
- Life and disability insurance coverage
- Professional development programs and educational reimbursement
- Opportunities for career growth and advancement
- Employee wellness programs and resources
- Collaborative and inclusive workplace culture
- Onsite fitness facilities or gym membership discounts
- Employee recognition and reward programs
- Support for work-life balance and family-friendly policies
- Access to cutting-edge tools and technologies