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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering teams and designing data architectures, including data lakes and warehouses, while ensuring data quality and governance. Proficient in implementing modern data engineering practices and supporting analytics and machine learning initiatives.
Highest-signal resume keywords
Data ArchitectureETL/ELTCloud Platforms (AWS, GCP, Azure)Data GovernanceData Engineering Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data LakesData WarehousesData ModelingData QualityScalable PipelinesVersion ControlTestingObservabilityDocumentationAnalytics
Soft Skills
CommunicationInfluencingCollaborationStrategic PerspectiveResults-Oriented Mindset
Industry Keywords
HealthtechEdtechDigital Product
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead the data engineering team, fostering technical development, performance management, and continuous growth
- Design and evolve data architectures, including data lakes, data warehouses, ETL/ELT, and scalable pipelines
- Ensure data quality, reliability, and availability while promoting sound governance practices
- Help build a data-driven culture by facilitating business teams’ strategic access to and use of data
- Implement modern data engineering practices, including version control, testing, observability, and documentation
- Partner with Product, Analytics, and Technology teams to ensure alignment between the platform and business needs
- Support advanced analytics and machine learning initiatives by ensuring a robust, scalable data foundation
- Monitor the performance and efficiency of data pipelines and environments
- Connect technical decisions to business impact, balancing scalability, cost, and performance
- Contribute to the continuous evolution of the company’s data ecosystem
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
- Proven experience leading data engineering teams, particularly in medium- to high-complexity environments
- Strong experience with data architecture, including data lakes, data warehouses, ETL/ELT, and scalable pipelines
- Experience with cloud platforms such as AWS, GCP, or Azure, and modern data tools
- Knowledge of data modeling, data quality, and data governance
- Experience working with large volumes of data and distributed environments
- Experience with modern engineering practices, including version control, testing, observability, and documentation
- Ability to connect technical decisions to business impact, with a strategic perspective and results-oriented mindset
- Experience working with data for analytics, BI, and/or machine learning
- Strong communication, influencing, and collaboration skills when working with multiple stakeholders
- Preferred: experience in healthtech, edtech, or digital product companies
Benefits
Comp & perks- Meal and food allowance
- Transportation allowance (for hybrid or onsite positions)
- Wellhub (formerly Gympass)
- Psicologia Viva
- Health and dental insurance
- Life insurance
- Partnership with SESC
- Birthday Day Off
- Learning platform with professional development courses (UCA)
- Language academy (AIA)
- Leadership development program
- Afya Women’s Mentorship (MMA)