Lead Data Engineer with GCP

We are looking for a Lead Data Engineer to spearhead a GCP-based data platform initiative. This role centers 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 fuels reporting and analytics across the organization. As a technical leader, you will guide a team of data engineers, set best practices, and serve as the key technical authority on the platform.

Responsibilities

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

Requirements

• 5+ years of hands-on experience in data engineering
• Minimum 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, covering 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 solid command of data engineering fundamentals (ETL/ELT, data modeling, orchestration)
• Background in defining technical standards, mentoring engineers, and driving architectural decisions
• Strong communication and stakeholder management capabilities
• Fluency in Portuguese with English at B2+ level for team and cross-functional collaboration

Nice to have

• Familiarity with data governance practices, including access management, data cataloging, and lineage
• Understanding of compliance and regulatory considerations within 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