Data Delivery Leader: Drive Big Data Solutions & Client Success

EPAM Systems; Argentina; Presencial; ARS 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Career development

Learning resources

Volunteer opportunities

Descripción de la vacante

EPAM Systems is seeking a Data Delivery Manager to drive end-to-end data solution delivery for strategic accounts. You will lead technical direction, governance, and client engagement to ensure successful outcomes.

In this role you will coordinate multiple teams, design scalable architectures, and mentor other delivery managers while advancing data engineering, batch/streaming pipelines, and cloud migration initiatives across AWS/Azure/GCP. Excellent English communication is essential.

Formación

• At least 10 years delivering data/analytics projects.

Responsabilidades

• Lead end-to-end data solution delivery for designated accounts.
• Governance over delivery management and production processes.
• Organize resources to align skills with delivery plans.
• Provide technical leadership with scalable architectures and quality standards.
• Coordinate collaboration between teams and stakeholders.
• Develop and sustain long-term client relationships.
• Oversee proposals and statements of work.
• Ensure agile delivery practices are followed.
• Guide and mentor other delivery managers.

Conocimientos

Data delivery management

Data engineering

Big Data

Cloud data technologies

Delivery leadership

Stakeholder management

Agile delivery

English communication

Governance

Herramientas

Hadoop

Yarn

HDFS

MapReduce

Hive

Spark

Kafka

Python

Scala

Java

SQL

Descripción del empleo

EPAM Systems is seeking a Data Delivery Manager to drive end-to-end data solution delivery for strategic accounts. You will lead technical direction, governance, and client engagement to ensure successful outcomes.

In this role you will coordinate multiple teams, design scalable architectures, and mentor other delivery managers while advancing data engineering, batch/streaming pipelines, and cloud migration initiatives across AWS/Azure/GCP. Excellent English communication is essential.