We are seeking 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. Apply now to help shape the next-generation data foundation.

Responsibilities

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

Requirements

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 Am

📌 Lead Data Platform Engineer (Chile)
🏢 EPAM Systems
📍 Chile