Platform Engineer

• Liderar el diseño, evolución y modernización de plataformas de datos end-to-end, incluyendo pipelines, arquitecturas Lakehouse, gobierno y calidad de datos.
• Diseñar arquitecturas modernas utilizando Informatica IDMC y Databricks Lakehouse.
• Liderar estrategias de migración de plataformas de datos legacy, definiendo el enfoque (Lift & Shift o reingeniería), validación y puesta en producción.
• Definir estándares técnicos, buenas prácticas y lineamientos para los equipos de ingeniería, brindando liderazgo técnico y mentoría.
• Diseñar e implementar soluciones de Data Governance, Metadata Management, Data Catalog y Data Quality, asegurando su integración dentro de la plataforma IDMC.
• Impulsar la adopción de arquitecturas Lakehouse, Medallion Architecture y Data Mesh.
• Gestionar la estrategia FinOps de la plataforma, optimizando el consumo de IPUs y costos cloud.
• Liderar la modernización de cargas de trabajo hacia Databricks utilizando Delta Lake e IDMC for Databricks.
• Habilitar capacidades de IA mediante CLAIRE Agents y AI Agent Engineering.
• Actuar como principal referente técnico frente a clientes, Enterprise Architects y CDOs.

Lead Data Platform Engineer – LATAM

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability.
• Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads.
• Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance.
• Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation.
• Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests.
• Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform.
• Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery.
• Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations.
• Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes.
• Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog.
• Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds.
• Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products.
• Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

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Lead Data Platform Engineer – LATAM

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