Data Warehouse 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 Data Warehouse Architect plays a crucial role in designing and implementing robust data storage solutions that enable efficient data retrieval and analysis. They are responsible for developing strategies to manage and integrate large volumes of data from multiple sources, ensuring the data's integrity, security, and accessibility. This role involves collaborating with various stakeholders to understand data requirements and translating them into scalable architectures. By optimizing data workflows and utilizing advanced database technologies, Data Warehouse Architects facilitate enhanced business intelligence and informed decision-making processes across the organization.

- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Data Warehouse Architect or in a similar role.
- Strong expertise in designing and implementing data warehouse architectures.
- Proficiency in data modeling and database design.
- Extensive experience with ETL tools and processes.
- In-depth knowledge of SQL and database management systems (DBMS).
- Familiarity with data warehouse platforms such as Amazon Redshift, Google BigQuery, Snowflake, or similar.
- Experience with cloud-based data warehousing solutions.
- Strong understanding of data integration and data migration techniques.
- Proficiency in scripting languages such as Python, Perl, or Shell scripting.
- Familiarity with data profiling, data cleansing, and data quality improvement techniques.
- Experience with business intelligence (BI) tools and reporting platforms.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work with cross-functional teams and stakeholders.
- Experience with data security practices and regulatory compliance.
- Knowledge of performance optimization and capacity planning.
- Ability to mentor and guide junior team members and data engineers.
- Strong attention to detail and accuracy.
- Continuous learning mindset to stay updated with evolving technologies and trends.

- Design and implement data warehouse architecture and solutions.
- Develop and maintain efficient ETL processes.
- Collaborate with stakeholders to understand and translate business requirements into technical specifications.
- Ensure high levels of data integrity and quality.
- Monitor, troubleshoot, and optimize data warehouse performance.
- Perform data modeling and establish best practices for data warehouse design.
- Integrate data from diverse sources into the data warehouse.
- Conduct data profiling and improve data quality.
- Create and maintain documentation for data warehouse processes and standards.
- Coordinate with IT and development teams to ensure seamless integration and data flow.
- Provide technical support and assistance to data warehouse users.
- Perform regular maintenance tasks such as backups and recovery tests.
- Stay informed about advancements and trends in data warehousing technologies.
- Implement data security measures and ensure regulatory compliance.
- Optimize resource usage to improve cost efficiency.
- Mentor and guide junior team members and data engineers.
- Participate in capacity planning and scalability efforts for data warehousing solutions.

The ideal candidate for the Data Warehouse Architect role is an experienced professional with a robust background in designing and implementing advanced data warehouse architectures. Holding at least a bachelor's degree in Computer Science, Information Technology, or a closely related field, they boast a proven track record in similar positions with strong expertise in data modeling, database design, and proficient use of ETL tools and processes. The candidate is well-versed in SQL, database management systems, and has hands-on experience with modern data warehouse platforms like Amazon Redshift, Google BigQuery, or Snowflake, and is adept at employing cloud-based solutions. Proficiency in scripting languages such as Python, Perl, or Shell scripting is essential, along with a solid understanding of data integration, migration techniques, and data quality improvement practices. Demonstrating strong analytical and problem-solving skills, they excel at translating complex technical concepts into business terms and are able to effectively collaborate with cross-functional teams and stakeholders. With a high level of integrity, attention to detail, and commitment to data quality, they approach challenges strategically and proactively. Excellent leadership and mentorship capabilities, combined with outstanding communication and interpersonal skills, make them a strong team player who can manage multiple projects and deadlines in fast-paced environments. Dedication to continuous learning, adaptability to changing technologies, and resilience under pressure further distinguish them as an ideal candidate, committed to achieving exceptional results while maintaining the highest levels of data security and regulatory compliance.

- Design, develop, and maintain data warehouse architecture.
- Collaborate with business stakeholders to gather and analyze requirements.
- Ensure data integrity, quality, and consistency in data warehouse systems.
- Create and optimize ETL (Extract, Transform, Load) processes.
- Monitor and troubleshoot data warehouse performance and issues.
- Develop and implement data modeling best practices.
- Oversee the integration of data from multiple sources.
- Conduct data profiling and analysis to improve data quality.
- Document data warehousing processes, designs, and standards.
- Coordinate with IT and development teams to ensure seamless data flow.
- Provide support for data warehouse users, including query assistance and data access.
- Perform regular maintenance tasks, including backups and recovery testing.
- Stay updated with the latest data warehouse technologies and trends.
- Ensure data security and compliance with relevant regulations.
- Optimize storage and compute resources for cost efficiency.
- Mentor and guide junior team members and data engineers.
- Participate in capacity planning and scaling of data warehousing solutions.

- Strategic thinker with a proactive approach to problem-solving
- Strong leadership and mentorship skills
- Detail-oriented mindset with exceptional accuracy
- High level of integrity and commitment to data quality
- Excellent communication and interpersonal skills
- Ability to translate complex technical concepts into business terms
- Collaborative team player with strong interpersonal skills
- Strong work ethic and self-motivation
- Adaptable to changing technologies and environments
- Ability to manage multiple projects and deadlines
- Analytical mindset with strong troubleshooting abilities
- High degree of accountability and responsibility
- Passion for continuous learning and improvement
- Inquisitive nature and desire to stay updated on industry trends
- Resilient and able to work under pressure
- Ability to drive results and achieve goals in a fast-paced environment
- Demonstrated ability to handle sensitive and confidential information respectfully

- Competitive salary range, depending on experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off (PTO) and holiday schedule.
- Flexible work hours and remote work options.
- Professional development opportunities, including trainingand certifications.
- Tuition reimbursement programs.
- Access to company wellness programs and resources.
- Employee assistance programs (EAP) for personal and family support.
- Collaborative and inclusive work environment.
- Opportunity to work with cutting-edge technology and innovative projects.
- Stock options or equity grants for eligible employees.
- Commuter benefits or transportation reimbursement.
- Fitness and wellness stipends.
- Company-sponsored events and team-building activities.
- On-site amenities such as a gym, cafeteria, or recreation areas (if applicable).
- Opportunities for career advancement and internal mobility.
- Paid parental leave and family care benefits.