Lead Data Engineer with GCP

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

Benefits

• 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
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn