Senior Data Solutions Lead

Zs Associates; Buenos Aires; Híbrido; ARS 900.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Travel opportunities

Descripción de la vacante

ZS Associates in Argentina is seeking an experienced Data Lead to drive end-to-end data initiatives across client engagements. You will design scalable architectures, govern data quality, and empower cross-functional teams of engineers, analysts, and architects to deliver high-impact analytics solutions.

The role requires 4+ years in data-focused roles, strong Python skills, and fluency in English, with hybrid work and travel opportunities in the region.

Formación

• Bachelor's or Master's degree in Business Analytics, Computer Science, MIS, or related field with academic excellence.
• 4+ years of relevant professional experience delivering technology solutions.
• Ability to lead project teams and mentor growth.
• Strong experience in data engineering, analytics, data warehousing, and cloud platforms.
• Proficiency in Python.

Responsabilidades

• Lead end-to-end data initiatives from requirements through deployment and operation.
• Design scalable data architectures, data models, integration frameworks, and analytics solutions on Snowflake/Databricks.
• Drive data governance, data quality, KPI definition, and reporting standards.
• Manage cross-functional teams of data engineers, analysts, and architects.
• Communicate complex solutions to senior leadership.

Conocimientos

Data engineering

Analytics

Data warehousing

Cloud data platforms

Python

Leadership

English

Educación

Bachelor's or Master's degree in Business Analytics, Computer Science, MIS, or related field

Descripción del empleo

ZS Associates in Argentina is seeking an experienced Data Lead to drive end-to-end data initiatives across client engagements. You will design scalable architectures, govern data quality, and empower cross-functional teams of engineers, analysts, and architects to deliver high-impact analytics solutions.

The role requires 4+ years in data-focused roles, strong Python skills, and fluency in English, with hybrid work and travel opportunities in the region.