Lead Data Engineer
1 нед. назад
БразилияLead
etlstreamingmdmdata engineering
Lead the development and operationalization of a strategic data platform roadmap, focusing on building scalable data products and platform services.
О компании
- AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
- At , our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.
Обязанности
- Develop, implement, and operationalize the strategic roadmap for the data platform, translating long-term architectural vision into executable initiatives and measurable outcomes;
- Build and evolve Lakehouse, ETL, streaming, and MDM capabilities, lead modernization programs, and drive the delivery of scalable data products and platform services;
- Work closely with engineering teams throughout design, development, testing, deployment, and production support to ensure platform solutions meet performance, reliability, governance, and business requirements;
- Identify opportunities for platform optimization, reduce technical debt, and accelerate the adoption of modern data engineering practices across the organization.
Требования
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis, or related fields;
- Advanced English;
- Strong experience designing and implementing large-scale ETL and data platform architectures;
- Extensive experience with Databricks and modern Lakehouse architectures;
- Strong cloud experience with Azure, AWS, and/or Google Cloud Platform;
- Experience with Master Data Management (MDM), entity resolution, matching and survivorship strategies, and data governance principles;
- Deep understanding of data modeling, distributed data processing, orchestration frameworks, and data platform scalability;
- Experience designing data contracts, schema evolution strategies, and reusable data platform components;
- Strong software engineering fundamentals, including testing, CI/CD, code quality, observability, and operational excellence;
- Experience establishing data quality frameworks, validation layers, reconciliation processes, and reliability standards;
- Knowledge of streaming architectures, event-driven systems, and modern data integration patterns;
- Proven experience mentoring engineers and providing technical leadership across multiple teams;
- Ability to evaluate architectural trade-offs, identify long-term risks, and design solutions aligned with business growth objectives;
- Experience working in highly scalable and mission-critical environments.
- 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;
- Define engineering standards and ensure consistency across teams and domains;
- Establish expectations for production readiness, code reviews, testing, reliability, and maintainability;
- Foster a culture of technical excellence, ownership, continuous improvement, and collaboration;
- Drive alignment between engineering teams on architecture, platform standards, and long-term technical direction;
- Balance strategic thinking with hands-on execution, actively contributing to critical implementations when needed.
Условия
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
- *Rules applied
Другое
- Strong analytical thinking and problem-solving skills;
- Excellent communication and stakeholder management abilities;
- Ability to influence technical decisions across teams and organizational levels;
- Collaborative leadership style with a mentorship mindset;
- Strong sense of ownership and accountability;
- Ability to navigate ambiguity and make sound engineering decisions;
- Results-oriented mindset with focus on scalability, quality, and business impact.
- Experience leading enterprise-scale Data Engineering and MDM transformation initiatives;
- Experience defining multi-year technology roadmaps and platform modernization strategies;
- Hands-on experience transitioning architectures from batch processing to streaming solutions;
- Experience with multi-region, multi-brand, or highly regulated data environments;
- Strong understanding of data product architecture and domain-oriented data design principles;
- Experience influencing executive stakeholders and driving strategic technology decisions;
- Significant experience building and operating business-critical, high-scale data platforms;
- Deep understanding of software engineering best practices and engineering excellence at scale.