We are seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The idóneo candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.

Key Responsibilities

- Lead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.
- Own end-to-end data platform delivery, operational excellence, and SLA adherence.
- Manage cross-functional dependencies, stakeholder communication, and issue escalations.
- Ensure high availability, monitoring, alerting, and production support readiness.
- Collaborate with business, portfolio management, and technology leadership teams.





Define and implement best practices for platform governance, operational readiness, and performance optimization

Key Words

Databricks , Apache Spark, Data Engineering Lead, DBT

- Strong experience with Databricks , DBT, Apache Spark , and performance tuning.
- Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
- Deep understanding of Data Engineering, ETL/ELT, and large‑scale data platforms.
- Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation .
- Strong platform management, monitoring, and incident management experience.

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📌 Data Architect (México)
🏢 Pyramid Consulting
📍 México