Lead Data Engineer (Santiago de Querétaro)

Lead Data Engineer (Santiago de Querétaro)

18 ago
|
Agileengine
|
Santiago de Querétaro

18 ago

Agileengine

Santiago de Querétaro

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

ABOUT THE ROLE
We are looking for a Lead Data Engineer to own the data pipeline and analytical architecture layer for a large-volume marketing analytics platform. You will make architectural decisions around partitioning strategy, file formats, schema design, and near-real-time processing for OLAP-oriented workloads built on an S3-backed data lake. You will design and govern ETL pipelines, define DAG-based orchestration strategies using Airflow, drive the AWS data stack including Athena and EKS, and lead a team of senior developers while enforcing code quality standards. The role requires a high degree of autonomy: you will often work on ad hoc or underspecified problems,



defining the problem, gathering context, identifying constraints, and shaping the right technical approach before implementation.

WHAT YOU WILL DO
- Design and own ETL pipelines that extract, transform, and validate data from internal databases and external APIs at scale.
- Make architectural calls on partitioning, file formats, schema/data-type strategy, and near-real-time processing for large-volume, OLAP-oriented data systems built on an object-storage data lake.
- Own the design of scheduled batch workflows (DAGs) on the Airflow setup — defining pipeline structure, dependencies, and triggering strategy, and driving architectural conversations about them. Not responsible for administering Airflow itself.
- Drive use of the AWS data stack (S3-backed data lake, Athena, EKS/Kubernetes), and partner directly with the DevOps team to clarify functional and non-functional requirements.
- R

📌 Lead Data Engineer (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro

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