Lead Data Platform Engineer - AWS Lakehouse & Governance

EPAM Systems; Chile; Presencial; CLP 66.960.000 - 100.440.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Lunch allowance

Internet and electricity allowance

National holiday bonus

End of year bonus

Learning culture

Relocation support

Referral program

Descripción de la vacante

EPAM Systems in Chile seeks a Lead Data Platform Engineer to define, build, and operate a governed, scalable enterprise data platform that accelerates analytics and insight delivery. You will lead strategy, architecture, delivery, and governance for an AWS-native lakehouse while enabling secure self-service access to trusted data.

You will guide migration from legacy platforms, own ingestion and transformation pipelines, and mentor a data-led team to deliver secure, scalable data solutions for

Formación

• 5+ years of data engineering or data platform experience.
• 1+ years of people leadership experience in data engineering or platform teams.
• Strong platform strategy skills to define roadmaps, standards, and investment direction.
• Proven project delivery ownership for end-to-end platform build and operations.
• Advanced AWS data ecosystem experience with AWS Database Migration Service, AWS Glue, and Amazon DataZone.
• Expert data governance and security knowledge including data catalog integration, access controls, and policy enforcement.
• Strong lakehouse architecture experience designing scalable, governed data lakehouse foundations.
• Strong SQL for Data Analytics skills across ingestion, transformation, and consumption use cases.
• Excellent stakeholder management skills to align cross-functional domain, security, and analytics partners.
• Upper-Intermediate English proficiency (B2)

Responsabilidades

• Define the enterprise data platform vision, strategy, and multi-quarter roadmap.
• Design and evolve an AWS-native lakehouse architecture for secure, high-performance access to trusted data.
• Establish reusable platform standards, reference architectures, and engineering quality frameworks.
• Drive migration from legacy Microsoft-based data platforms to the target lakehouse and governance model.
• Own delivery and ongoing operations of ingestion pipelines, transformation frameworks, and orchestration patterns.
• Implement governance controls, data catalog integration, and self-service discovery using Amazon DataZone.
• Ensure reliability, observability, performance, scalability, and cost efficiency across platform workloads.
• Enable fine-grained access control and secure consumption patterns across domains.
• Lead tooling decisions and integration patterns for analytics and BI consumption, including SQL-based access.
• Mentor and grow a team, setting clear expectations and fostering continuous improvement.
• Align with business domains to onboard data products and scale adoption of self-service data access.
• Act as the escalation point for platform decisions, risks, and trade-offs across stakeholders.

Conocimientos

Data platform leadership

AWS data services

Lakehouse architecture

Data governance

SQL analytics

Stakeholder management

English proficiency (B2)

Herramientas

AWS Glue

AWS DMS

Amazon DataZone

Power BI integration

Apache Spark

Descripción del empleo

EPAM Systems in Chile seeks a Lead Data Platform Engineer to define, build, and operate a governed, scalable enterprise data platform that accelerates analytics and insight delivery. You will lead strategy, architecture, delivery, and governance for an AWS-native lakehouse while enabling secure self-service access to trusted data.

You will guide migration from legacy platforms, own ingestion and transformation pipelines, and mentor a data-led team to deliver secure, scalable data solutions for