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
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Lead the architecture, design, and implementation of data pipelines leveraging Dataflow on GCP
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Define standards and drive the development and optimization of data models and queries within BigQuery
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Oversee the design and support of reporting and analytics layers powered by Looker (or similar BI tooling)
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Own the technical direction and evolution of the broader GCP Data Platform
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Establish and enforce data governance best practices, covering access controls, data quality, lineage, and documentation across pipelines and datasets
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Mentor and guide data engineers, performing code reviews and fostering technical growth within the team
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Partner with cross-functional stakeholders and leadership to convert business and data requirements into scalable technical solutions and long-term roadmaps
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Set up monitoring, alerting, and troubleshooting practices to safeguard data pipeline performance and reliability
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Drive technical decision-making, assess new tools and technologies, and champion continuous improvement
Requirements
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5+ years of hands-on experience in data engineering
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Minimum 1 year of experience leading teams and owning end-to-end delivery of data platform initiatives
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Deep understanding of GCP-based data platform architecture and design patterns
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Advanced proficiency in BigQuery, covering schema design, query optimization, and performance tuning at scale
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Expertise in Dataflow for building and scaling batch and/or streaming data pipelines
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Strong knowledge of Looker or equivalent BI/analytics tooling, including semantic modeling
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Expert-level SQL skills and solid command of data engineering fundamentals (ETL/ELT, data modeling, orchestration)
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Background in defining technical standards, mentoring engineers, and driving architectural decisions
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Strong communication and stakeholder management capabilities
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Fluency in Portuguese with English at B2+ level for team and cross-functional collaboration
Nice to have
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Familiarity with data governance practices, including access management, data cataloging, and lineage
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Understanding of compliance and regulatory considerations within data platforms
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
