AI-First Data Engineering Manager (Remote)

Félix; Bogotá; A distancia; COP 386.548.000 - 547.610.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Stock options

Annual performance bonus

Health plan

Dental plan

Vision plan

Remote work

Learning opportunities

Unlimited PTO

Parental leave

Growth opportunities

Descripción de la vacante

Félix, a fast-growing fintech company, is seeking a Data Engineering Manager to lead our core data engineering squad and oversee the DBA team. Based in a remote-first setup, you will guide infrastructural projects on a GCP-native stack while fostering an AI-native mindset to automate code and reduce manual work.

You will shape data strategy, ensure reliability and governance across streaming and batch pipelines, and collaborate with product and business teams to drive measurable impact.

Formación

• Proven experience leading data engineering teams and hands-on coding
• Strong Google Cloud Platform background with BigQuery
• Experience with dbt and real-time streaming (Flink or Dataflow)
• Excellent communication in English; Spanish language skills a plus

Responsabilidades

• Lead data engineering squad and DBA team
• Drive infrastructure projects using GCP, BigQuery, dbt, and Flink
• Foster AI-native approaches to automate pipelines and improve ops
• Ensure data quality, observability, and cost optimization
• Align data work with business goals

Conocimientos

Builder mindset

GCP mastery

dbt expertise

Apache Flink

AI mindset

DBA management

English proficiency

Spanish helpful

Herramientas

BigQuery

Apache Airflow

Descripción del empleo

Félix, a fast-growing fintech company, is seeking a Data Engineering Manager to lead our core data engineering squad and oversee the DBA team. Based in a remote-first setup, you will guide infrastructural projects on a GCP-native stack while fostering an AI-native mindset to automate code and reduce manual work.

You will shape data strategy, ensure reliability and governance across streaming and batch pipelines, and collaborate with product and business teams to drive measurable impact.