Lead Data Engineer with GCP

Description

Summary: Seeking a Lead Data Engineer to drive, design, and evolve a GCP-based data platform, leading a team and shaping a scalable data ecosystem for reporting and analytics. Highlights: 1. Lead the architecture and implementation of data pipelines using Dataflow on GCP 2. Define standards and optimize data models and queries in BigQuery 3. Mentor and guide data engineers, fostering technical growth within the team 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 * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn