- Beneficios de acuerdo a la LFT
- Seguro de vida
- Fondo de ahorro
- Seguro de gastos médicos
- Bonos anuales
- Plan de indexación
- Caja de ahorro
- Gimnasio
Giro
Informatica
Actividad principal
Scientific Solutions
Número de empleados
125000
Sitio Web corporativo
Aviso de privacidad
Descripción y detalle de las actividades
Job Summary
We are seeking an experienced and detail-oriented Data Steward to drive the execution of enterprise data governance and data quality initiatives. This role operates as an independent contributor, responsible for ensuring that data assets are trusted, well-governed, and accessible across the organization.
The Data Steward will own the governance, lineage, and quality of data assets across the full data lifecycle—from ERP source systems through RAW, consumable, and KPI layers. Leveraging data.world as the enterprise data catalog, this role will ensure strong metadata management, lineage transparency, and data discoverability.
A key focus of this role is to establish a consistent, trusted semantic layer that supports analytics and AI use cases, ensuring data is clearly defined, standardized, and ready for downstream consumption. The role requires a balance of governance expertise and hands-on technical capability (SQL and Python) to validate data, enforce quality, and support metadata and lineage automation.
Experiencia y requisitos
Preferred Experience
- Hands-on experience with data.world or similar modern data catalog platforms.
- Strong understanding of data governance frameworks (e.g., DAMA-DMBOK).
- Experience managing data lineage and quality across multi-layered architectures (ERP, data lakes, transformation layers, KPI/reporting).
- Experience supporting or building semantic layers for BI and/or AI use cases.
- Proficiency in SQL and Python for data analysis, profiling, and automation of data quality checks.
- Experience working with APIs or programmatic interfaces for metadata and catalog automation.
- Familiarity with modern data platforms (Databricks, Redshift, Athena).
- Experience with data visualization tools (e.g., Power BI).
- Knowledge of data privacy and regulatory standards (e.g., GDPR, CCPA).
Qualifications
- Bachelor’s degree in computer science, Information Systems, Data Science, or related field.
- 3+ years of experience in data stewardship, data governance, or data quality roles.
- Demonstrated experience working with data catalogs, metadata management, and lineage.
- Strong problem-solving skills with the ability to work independently and manage moderately complex data challenges.
- Excellent communication and stakeholder management skills, with the ability to influence and drive adoption of governance practices.
- Comfortable working hands-on with data using SQL and Python to validate data, enforce quality rules, and support governance processes.
What Success Looks Like
- Trusted, well-documented data assets across ERP → KPI pipeline
- High adoption and effective use of data.world
- Consistent and governed business definitions and semantic layer
- Measurable improvements in data quality KPIs
- Reliable, AI-ready datasets supporting analytics and decision-making
Beneficios
Número de vacantes 1
Área Informática/Sistemas/TI/Programación/Software
Contrato Permanente
Modalidad Presencial
Turno Diurno
Jornada Tiempo Completo
Estudios Carrera con título profesional
Inglés Hablado: Avanzado, Escrito: Avanzado
Disponibilidad p. viajar No
