Data Steward
ThermoFisher Scientific
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
Mayo 11 2026 en Tijuana
