Data Lineage Specialist

Vintti is a dynamic staffing agency bridging the gap between Latin American talent and US-based businesses. We specialize in connecting skilled professionals from Latin America with small and medium-sized businesses, startups, and firms across the United States. Our mission is to provide top-tier staffing solutions that enable US companies to access a diverse pool of talented individuals while offering exciting career opportunities to Latin American professionals. By leveraging our extensive network and deep understanding of both markets, Vintti facilitates mutually beneficial partnerships that drive growth and innovation for our clients and candidates alike.

A Data Lineage Specialist plays a critical role in managing and tracking the flow of data across an organization's systems and processes. This role involves mapping data from its origin to its destination, ensuring accuracy, consistency, and compliance with regulatory standards. By providing a comprehensive view of how data is created, transformed, and utilized, the Data Lineage Specialist supports data governance, enhances data quality, and aids in troubleshooting data-related issues. This specialist collaborates with various stakeholders to document data pathways, mitigating risks and improving data transparency and trust across the organization.

- Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field.
- 3+ years of experience in data management, data integration, or data governance roles.
- Strong understanding of data lineage concepts, methodologies, and best practices.
- Proficiency in data lineage and metadata management tools (e.g., Informatica, Collibra, Alation).
- Experience with SQL and database management systems (e.g., Oracle, SQL Server, MySQL).
- Knowledge of ETL processes and data integration techniques.
- Familiarity with data governance frameworks and regulatory compliance requirements (e.g., GDPR, CCPA).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to document complex data flows and create clear visual representations.
- Experience conducting data audits and validations.
- Attention to detail and a high degree of accuracy.
- Technical support and training capabilities.
- Continuous learning mindset with a focus on staying updated with industry trends.
- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Relevant certifications (e.g., Certified Data Management Professional, Informatica Certification) are a plus.

- Analyze and document data flows across systems to map data lineage.
- Collaborate with data architects, data engineers, and business analysts to gather data requirements.
- Develop and maintain comprehensive data lineage documentation.
- Monitor and ensure accuracy and consistency in metadata across data integration processes.
- Identify and mitigate risks related to data integrity and quality issues.
- Contribute to the design and implementation of data governance frameworks and regulatory compliance.
- Provide technical support and training to stakeholders on data lineage tools and practices.
- Conduct regular audits and validations for data lineage accuracy.
- Troubleshoot and resolve issues related to data lineage inconsistencies and metadata discrepancies.
- Support ongoing improvements in data lineage methodologies and processes.
- Evaluate data lineage tools and recommend enhancements or new systems.
- Ensure data lineage documentation aligns with other data management processes through collaboration with IT teams.
- Update and revise lineage documentation to reflect changes in data flows or systems.
- Prepare reports and visual representations to effectively communicate data lineage to stakeholders.
- Keep abreast of industry best practices and updates in data lineage and metadata management.

The ideal candidate for the Data Lineage Specialist role is a highly detail-oriented professional with a bachelor's degree in Computer Science, Information Technology, Data Management, or a related field, and over three years of experience in data management, data integration, or data governance roles. This individual has a robust understanding of data lineage concepts, methodologies, and best practices, demonstrated through their proficiency with industry-standard data lineage and metadata management tools such as Informatica, Collibra, or Alation. They possess strong SQL and database management skills, coupled with a solid grasp of ETL processes and data integration techniques. Familiarity with data governance frameworks and regulatory compliance requirements like GDPR and CCPA is crucial, as are sharp analytical and problem-solving abilities. Outstanding communication skills enable them to effectively convey complex data concepts to non-technical stakeholders and collaborate seamlessly with varying teams. The ideal candidate is proactive, self-motivated, and adaptable to evolving environments, maintaining composure under pressure and managing multiple tasks efficiently. With exceptional documentation and organizational skills, they can create clear visual representations of complex data flows, conduct accurate data audits, and provide valuable technical support and training. An innovative thinker focused on continuous improvement, they stay updated with industry trends and have a strong ethical compass, ensuring the highest standards of data integrity and quality. Furthermore, hands-on experience with cloud data platforms and relevant certifications enhance their profile, making them well-equipped to drive and support robust data lineage and governance frameworks within the organization.

- Analyze and document data flows to understand data lineage across various systems.
- Collaborate with data architects, data engineers, and business analysts to gather requirements and understand data sources.
- Develop and maintain data lineage documentation using tools and software.
- Monitor data integration processes to ensure metadata is consistent and accurate.
- Identify and mitigate risks related to data integrity and quality.
- Assist in the design and implementation of data governance frameworks and policies.
- Provide technical support and training to stakeholders on data lineage practices and tools.
- Conduct regular data audits and lineage validations to ensure compliance with regulatory requirements.
- Troubleshoot and resolve issues related to data lineage and metadata discrepancies.
- Support the continuous improvement of data lineage processes and methodologies.
- Participate in data lineage tool evaluations and recommend enhancements or new tools.
- Collaborate with IT teams to ensure data lineage documentation is integrated with other data management processes.
- Review and update lineage documentation to reflect changes in data flows and systems.
- Prepare reports and visualizations to communicate data lineage to various stakeholders.
- Stay updated on industry best practices and advancements in data lineage and metadata management.

- Detail-oriented with a focus on accuracy.
- Strong analytical and critical thinking skills.
- Excellent problem-solving abilities.
- Effective communication and collaboration skills.
- Proactive and self-motivated.
- Ability to work under minimal supervision.
- Adaptable to changing environments and requirements.
- Strong documentation and organizational skills.
- A continuous learning mindset.
- Ability to convey complex data concepts to non-technical stakeholders.
- Ability to manage multiple tasks and prioritize effectively.
- Resilience in troubleshooting and resolving issues.
- Enthusiastic about data governance and regulatory compliance.
- Strong technical aptitude and hands-on experience with data lineage tools.
- Team player with the ability to work collaboratively across various teams.
- Innovative thinker with a focus on process improvement.
- High ethical standards and integrity.
- Customer-focused with a commitment to providing excellent support and training.
- Strong understanding of data management principles.
- Ability to maintain composure under pressure.

- Competitive salary range: $80,000 - $120,000, depending on experience and qualifications.
- Comprehensive health benefits, including medical, dental, and vision insurance.
- Flexible work schedule with opportunities for remote work.
- Generous paid time off (PTO) and holiday leave.
- 401(k) retirement plan with company match.
- Professional development opportunities, including certifications and training programs.
- Employee wellness programs, including mental health support and fitness incentives.
- Life and disability insurance coverage.
- Tuition reimbursement for continued education.
- Employee assistance programs (EAP) for personal and professional support.
- Collaborative work environment with opportunities to work with cross-functional teams.
- Access to cutting-edge data lineage and metadata management tools and technologies.
- Career advancement opportunities within the company.
- Stock options or equity participation plans.
- Paid parental leave for new parents.
- Employee referral bonus programs.
- Onsite or virtual training workshops and seminars.
- Free or subsidized access to industry conferences and networking events.
- Company-sponsored social events and activities.
- Support for maintaining a healthy work-life balance, including flexible hours and remote work options.