Big Data Architect

Vintti is a staffing agency with a unique mission: to create win-win scenarios for both US businesses and Latin American professionals. We address the challenges faced by SMBs, startups, and firms in finding the right talent, as well as the aspirations of skilled Latin American workers seeking international opportunities. By bridging this gap, Vintti enables US companies to access a wealth of untapped talent, while providing Latin American professionals with pathways to expand their careers on a global scale. Our approach cultivates a symbiotic ecosystem that benefits all parties involved.

A Big Data Architect is a vital role focused on designing and implementing data processing frameworks and infrastructure to manage, analyze, and extract valuable insights from large and complex datasets. They ensure data solutions are scalable, efficient, and aligned with business objectives. Responsibilities typically include selecting appropriate data platforms, optimizing data storage, and facilitating seamless data integration. They work closely with data engineers, analysts, and stakeholders to translate business requirements into robust data architectures, driving data-driven decision-making across the organization.

- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Big Data Architect or similar role.
- Proficiency with big data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
- Strong understanding of data warehousing concepts and ETL processes.
- Experience in designing and developing scalable data architectures.
- Proficient in programming languages such as Java, Scala, or Python.
- Expertise in SQL and data querying languages.
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
- Strong knowledge of data modeling, data integration, and data governance.
- Experience with data security and compliance requirements.
- Ability to optimize data solutions for performance and cost-efficiency.
- Excellent collaboration and communication skills.
- Proven ability to work in a fast-paced, cross-functional team environment.
- Strong problem-solving and analytical abilities.
- Experience in conducting proof of concept (PoC) projects.
- Understanding of machine learning and data analytics concepts.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
- Ability to mentor and provide technical guidance to junior team members.
- Strong documentation skills for architectural designs and processes.
- Willingness to engage in continuous learning to stay updated with industry advancements.

- Design and architect big data solutions and frameworks.
- Implement scalable and efficient data pipelines and ETL processes.
- Collaborate with data scientists, engineers, and analysts to understand and meet data requirements.
- Assess and select appropriate big data technologies and tools.
- Develop strategies for data storage, processing, and retrieval.
- Ensure data systems are secure and compliant with regulatory standards.
- Provide technical guidance and mentorship to junior team members.
- Monitor and optimize performance, scalability, and cost-efficiency of data solutions.
- Troubleshoot and resolve issues in big data systems.
- Document architecture, processes, and system configurations comprehensively.
- Conduct proof of concept initiatives for emerging technologies and methodologies.
- Participate in code reviews and enforce best practices and standards.
- Plan for capacity and resource management in big data environments.
- Continuously evaluate and refine existing data systems and workflows.
- Stay updated with industry trends and advancements in big data technologies.

The ideal candidate for the Big Data Architect role will possess a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, with significant proven experience in big data architecture and demonstrated proficiency in major big data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases. They will have a deep understanding of data warehousing concepts, ETL processes, and the ability to design and develop scalable data architectures using advanced programming languages like Java, Scala, or Python. They will be adept at SQL and data querying languages, with familiarity in cloud platforms and services such as AWS, Azure, or Google Cloud. The ideal candidate will excel in data modeling, data integration, governance, and possess strong knowledge of data security, compliance, and optimization for performance and cost-efficiency. Their exceptional collaboration and communication skills will enable them to work effectively in cross-functional teams, understand complex data requirements, and provide clear technical guidance and mentorship to junior team members. They will have a strong analytical and problem-solving capability, high attention to detail, and capacity to perform under pressure while managing multiple projects. This proactive and self-motivated individual will demonstrate leadership, adaptability, a commitment to continuous learning, and innovation. Their strategic thinking, organizational prowess, and ability to translate complex technical concepts to non-technical stakeholders will set them apart, alongside a passion for big data technologies and a dedication to delivering high-quality, results-driven outcomes.

- Design, develop, and implement big data solutions to support complex data analytics requirements.
- Collaborate with cross-functional teams including data scientists, data engineers, and business analysts to understand data requirements and translate them into scalable architectures.
- Evaluate and select appropriate big data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
- Develop and maintain data pipelines to ensure efficient data ingestion, processing, and storage.
- Optimize data solutions for performance, scalability, and cost-efficiency.
- Ensure data security and compliance with relevant data protection regulations.
- Provide technical guidance and mentorship to junior team members and developers.
- Monitor and troubleshoot data systems to ensure high availability and reliability.
- Document architecture designs, processes, and configurations for reference and training.
- Conduct proof of concept (PoC) projects to evaluate new technologies or approaches.
- Participate in code reviews and provide feedback to ensure adherence to best practices and standards.
- Perform capacity planning and resource management for big data environments.
- Continuously evaluate and implement improvements to existing big data systems and workflows.
- Engage in continuous learning to stay current with advancements in big data technologies and best practices.

- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Proven leadership and mentorship capabilities
- High level of adaptability and learning agility
- Strong attention to detail and precision
- Ability to work well under pressure and manage multiple projects concurrently
- Self-motivated and proactive mindset
- Commitment to continuous improvement and innovation
- Strong strategic thinking and long-term vision
- High degree of accountability and reliability
- Demonstrated passion for big data technologies and methodologies
- Ability to translate complex technical concepts to non-technical stakeholders
- Strong organizational and time-management skills
- Driven by results and quality of work
- Candidate should be a team player while also being able to work independently

- Competitive salary range commensurate with experience
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan with company match
- Generous paid time off (PTO) and holidays
- Flexible working hours and remote work options
- Professional development opportunities including conferences, certifications, and training programs
- Employee wellness programs and resources
- Parental leave and family support benefits
- Life and disability insurance
- Employee assistance program (EAP) for mental health and wellness support
- Onsite fitness facilities or gym membership reimbursement
- Relocation assistance if applicable
- Opportunities for career advancement and internal promotions
- Access to cutting-edge technologies and tools
- Collaborative and inclusive company culture
- Stock options or equity opportunities
- Commuter benefits or transportation reimbursement
- Company-sponsored social events and team-building activities