Lead Data Engineer
AB InBev | Growth Group1 month ago
Campinas, BrazilStaff+
Responsibilities
- Develop and operationalize the strategic roadmap for the data platform, translating architectural vision into executable initiatives and measurable outcomes.
- Build and evolve Lakehouse, ETL, streaming, MDM, data product, and platform service capabilities.
- Lead modernization programs and improve data platform scalability, performance, reliability, governance, and business alignment.
- Collaborate with engineering teams across design, development, testing, deployment, and production support.
- Establish engineering standards for production readiness, code reviews, testing, reliability, maintainability, data quality, and operational excellence.
- Serve as the primary technical reference for Data Engineering and Data Platform initiatives.
- Mentor and develop engineers through technical coaching, architecture reviews, and best-practice guidance.
- Drive alignment across teams on architecture, platform standards, and long-term technical direction.
- Evaluate architectural trade-offs, identify long-term risks, and contribute hands-on to critical implementations when needed.
Requirements
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis, or a related field.
- Advanced English proficiency.
- Strong experience designing and implementing large-scale ETL and data platform architectures.
- Extensive experience with Databricks and modern Lakehouse architectures.
- Strong experience with Azure, AWS, and/or Google Cloud Platform.
- Experience with Master Data Management, entity resolution, matching and survivorship strategies, and data governance.
- Deep understanding of data modeling, distributed data processing, orchestration frameworks, data contracts, schema evolution, and data platform scalability.
- Strong software engineering fundamentals, including testing, code quality, observability, and operational excellence.
- Experience establishing data quality frameworks, validation layers, reconciliation processes, reliability standards, and reusable data platform components.
- Knowledge of streaming architectures, event-driven systems, and modern data integration patterns.
- Proven experience mentoring engineers and providing technical leadership across multiple teams.
- Experience working in highly scalable and mission-critical environments.
- Preferred experience leading enterprise-scale Data Engineering and MDM transformations, defining multi-year roadmaps, transitioning batch architectures to streaming, and operating multi-region, multi-brand, regulated, or business-critical data platforms.
- Preferred understanding of data product architecture, domain-oriented data design, executive stakeholder influence, and software engineering excellence at scale.
Benefits
- Performance-based bonus, subject to applicable rules.
- Attendance bonus, subject to applicable rules.
- Private pension plan.
- Meal allowance.
- Casual office and dress code.
- Days off, subject to applicable rules.
- Health, dental, and life insurance.
- Medicines discounts.
- WellHub partnership.
- Childcare subsidies.
- Discounts on Ambev products, subject to applicable rules.
- Clube Ben partnership.
- Scholarship, subject to applicable rules.
- School materials assurance.
- Language and training platforms.
- Transport allowance.
Tech Stack
Categories
Data Engineering
About AB InBev | Growth Group
AB InBev | Growth Group is the digital product and growth arm of Anheuser-Busch InBev, the Leuven-based public brewer behind Budweiser, Corona, and Stella Artois. It builds and scales platforms such as BEES, a B2B marketplace used by merchants and retailers in over 29 countries, plus supporting data and logistics tools that help route orders and manage inventory. The group’s work underpins AB InBev’s global portfolio of 500+ beverage brands.