We are seeking a Lead Data Engineer to drive a GCP-based data platform initiative. The role focuses on leading the design, development, and evolution of data pipelines and analytics infrastructure on Google Cloud Platform, shaping a scalable and reliable data ecosystem that powers reporting and analytics across the organization. As a technical leader, you will guide a team of data engineers, define best practices, and act as the key technical authority on the platform.

Responsibilities

- Lead the architecture, design, and implementation of data pipelines using Dataflow on GCP
- Define standards and drive the development and optimization of data models and queries in BigQuery
- Oversee the design and support of reporting and analytics layers using Looker (or similar BI tooling)
- Own the technical direction and evolution of the broader GCP Data Platform
- Establish and enforce data governance best practices, including access controls, data quality, lineage, and documentation across pipelines and datasets
- Mentor and guide data engineers, conducting code reviews and fostering technical growth within the team
- Partner with cross-functional stakeholders and leadership to translate business and data requirements into scalable technical solutions and long-term roadmaps
- Establish monitoring, alerting, and troubleshooting practices to ensure data pipeline performance and reliability
- Drive technical decision-making, evaluate new tools and technologies, and champion continuous improvement

Requirements

- 5+ years of hands-on experience in data engineering




- At least 1 year of experience leading teams and owning end-to-end delivery of data platform initiatives
- Deep understanding of GCP-based data platform architecture and design patterns
- Advanced proficiency in BigQuery, including schema design, query optimization, and performance tuning at scale
- Expertise in Dataflow for building and scaling batch and/or streaming data pipelines
- Strong knowledge of Looker or equivalent BI/analytics tooling, including semantic modeling
- Expert-level SQL skills and strong command of data engineering fundamentals (ETL/ELT, data modeling, orchestration)
- Experience defining technical standards, mentoring engineers, and driving architectural decisions
- Strong communication and stakeholder management skills
- Fluent Spanish speaker with English at B2+ level for team and cross-functional collaboration

Nice to have

- Solid background in data governance practices, including access management, data cataloging, and lineage
- Understanding of compliance and regulatory considerations in data platforms

We offer

- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead Data Engineer with GCP (Argentina)
🏢 EPAM Systems
📍 Argentina