We are seeking a Senior Data Platform Engineer to define, build, and run a governed, scalable enterprise data lakehouse on AWS so teams can access trusted data quickly and securely. You will set platform direction, lead delivery and operations, and align stakeholders across domains—apply now to help shape a modern data foundation.

Responsibilities

Define the enterprise data platform vision, strategy, and multi-phase roadmap
Design and evolve an AWS-native lakehouse architecture for secure, scalable analytics
Drive migration from Microsoft-centric data platforms to the target AWS lakehouse
Establish reusable platform standards, reference architectures, and engineering best practices
Own end-to-end delivery and ongoing operation of the data platform capabilities
Build and oversee ingestion and transformation frameworks to onboard trusted data products
Implement governance, metadata management, and discoverability using Amazon DataZone and catalog integration
Enforce fine-grained access controls and policy-based security with AWS Lake Formation
Ensure platform reliability,



performance, and scalability through monitoring and operational controls
Optimize cost efficiency across storage, compute, and data processing workloads
Lead technology and tooling decisions across batch and real-time processing patterns
Enable self-service data access and coordinate alignment across architecture, security, and analytics stakeholders
Mentor and grow a team, setting quality frameworks and fostering continuous improvement
Act as the escalation point for platform decisions and cross-domain delivery trade-offs

Requirements

3+ years of data engineering or data platform experience
Strong AWS data ecosystem experience with Glue, Lake Formation, DataZone, and IAM
Strong lakehouse architecture experience on AWS
Advanced ETL/ELT pipeline expertise and orchestration framework knowledge
Strong data governance knowledge including security and access control models
Professional English profici

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