Data Engineer

• Diseñar, construir y operar pipelines de datos (Fabric pipelines)
• Migraciones ETL y modelos de datos escalables
• Entregar datos confiables y gobernados a consumidores analíticos y de BI

Ingeniero de Datos – Fabric

• Participar en el desarrollo de soluciones de datos
• Entender el impacto del dato en el negocio
• Comunicarse con múltiples stakeholders
• Trabajar de forma autónoma
• Asegurar calidad de datos
• Resolver problemas de forma estructurada
• Proponer mejoras continuas

• Snowflake Platform Ownership Architects, builds, and owns OpenLoop's production Snowflake environment end-to-end — including multi-environment setups (dev/staging/prod), ingestion pipelines from AWS S3, scheduling, RBAC frameworks, and data masking policies. Ensures platform health through query performance optimization, warehouse cost management, and proactive monitoring as the environment scales.
• Data Governance & Compliance Designs and implements data governance architectures that satisfy HIPAA and security review requirements, including dynamic data masking policies, row-level security, and role-based access control. Translates regulatory constraints into durable, auditable Snowflake governance controls.
• Semantic & Dynamic View Layer Establishes a robust semantic and dynamic view layer that enables governed, self-serve data access across engineering, BI, analytics, and data science teams. Ensures downstream consumers can trust and access the data they need with consistency.
• AWS-to-Snowflake Ingestion Engineering Designs and maintains scalable ingestion systems using S3-to-Snowflake integration patterns with AWS services (EventBridge, SQS, SNS, Lambda, Athena, Glue). Builds resilient pipelines with retry logic, rate-limit management, and idempotent processing for external API enrichment workflows.
• Technical Strategy & Standards Defines data architecture standards and best practices where none currently exist. Acts as the go-to Snowflake authority for Data Engineers, Analytics Engineers, and cross-functional stakeholders. Drives architectural decisions that balance consistency, performance, cost efficiency, and security.
• Cross-Functional Collaboration Partners closely with Engineering, Product, Security, Compliance, and SRE teams to ensure the data platform meets business requirements while maintaining strict security and performance standards. Communicates technical trade-offs and architecture decisions clearly to both technical and non-technical stakeholders.

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Ingeniero de Datos – Fabric

Data Engineer

Data Architect