Data Engineer Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer Manager based in Brazil.

• Lead the technical design, implementation, and evolution of scalable data architectures and platforms across complex environments.
• Design, develop, and maintain high-performance, resilient data pipelines and ETL/ELT processes supporting large-scale data workloads.
• Define architecture standards and best practices for Data Lake, Data Warehouse, and Lakehouse environments.
• Work with different teams to ensure data integrity, quality, security, availability, and operational reliability.
• Implement Data Quality, observability, and reliability practices across data pipelines and platforms.
• Develop and evolve CI/CD pipelines and engineering practices for data processing and ETL/ELT solutions.
• Define and implement relational and dimensional data models aligned with analytical and operational requirements.
• Establish Data Governance practices, including data cataloging, lineage, access controls, and documentation.
• Document architectures, data flows, processes, technical decisions, and relevant engineering standards.
• Troubleshoot complex technical issues, conduct root-cause analyses, and drive sustainable solutions.
• Apply FinOps principles to monitor, manage, and optimize the costs associated with data solutions.
• Act as a technical reference for the engineering team, supporting technical decisions, knowledge sharing, autonomy, and professional development.
• Leverage AI throughout the data engineering and software development lifecycle to improve productivity, quality, and delivery efficiency.

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong professional experience in Data Engineering, ideally within complex, large-scale environments.
• Experience acting as a technical reference, contributing to architectural decisions and supporting the evolution of engineering teams.
• Advanced knowledge of SQL, Python, and Spark.
• Experience developing data solutions for Machine Learning, Generative AI, or agent-based systems.
• Experience working with modern data stacks in cloud environments.
• Strong background in data pipelines, ETL/ELT processes, distributed data processing, and integration across multiple data sources.
• Solid understanding of data architecture, scalability, security, performance, operational reliability, and cost optimization.
• Experience applying CI/CD practices to data engineering solutions.
• Knowledge of relational and dimensional data modeling.
• Experience using AI within software development and data engineering workflows.
• Ability to evaluate technical solutions from multiple perspectives, including scalability, security, performance, cost, and long-term sustainability.
• Experience with multiple cloud providers is a plus.
• Experience with Databricks or equivalent data platforms is a plus.
• Certifications related to data, cloud, or distributed processing are a plus.
• Knowledge of Data Lake, Data Warehouse, and Lakehouse architectures is a plus.
• Experience with Data Quality, observability, data reliability, cataloging, lineage, and governance tools is a plus.
• Knowledge of FinOps applied to data ecosystems is a plus.
• Experience working with international projects or distributed teams is a plus.

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass.
• Profit Sharing and Results (PLR).
• Life insurance.
• Continuous learning platform with access to professional development resources.
• Discounts through partner programs.
• Free online platform focused on physical health, mental health, and overall well-being.
• Pregnancy and responsible parenthood courses and support.
• Partnerships with online learning platforms.
• Access to language learning platforms.
• Remote work environment.
• Additional benefits according to the applicable employment and company policies.