Description
Summary:
Seeking a Lead Data Engineer to drive, design, and evolve a GCP-based data platform, shaping a scalable ecosystem for reporting and analytics.
Highlights:
1. Lead design and evolution of GCP-based data platform and pipelines
2. Define standards and optimize data models in BigQuery
3. Mentor data engineers and drive architectural decisions
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