Engineering Manager, Data

DoorDash; São Paulo; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

DoorDash is seeking a Data Engineering Manager in São Paulo to guide the development of enterprise-scale data solutions. The role emphasizes leadership, strategic vision, and building high-performing teams.

With 10+ years in data engineering and strong communication skills, you will empower teams and ensure continuous improvement in data architecture and processes, driving success in a dynamic environment.

This position is inclusive, welcoming candidates registered with the national autism registry and those needing accommodations as needed.

Qualificações

• 10+ years of experience working in data engineering or a related domain.
• 2+ years of hands-on management experience.
• Exceptional communication and leadership skills.

Responsabilidades

• Hire, build, and grow impactful data teams.
• Drive technical and strategic vision for data solutions.
• Ensure reliability and quality in data architecture.

Conhecimentos

Leadership

Data architecture

Python

SQL

AWS

Kafka

ETL orchestration

Formação académica

B.S., M.S., or Ph.D. in Computer Science or equivalent

Ferramentas

Snowflake

Databricks

Spark

Trino

Pinot

Descrição da oferta de emprego

About The Team

DoorDash is a data‑driven organization that relies on timely, accurate and reliable data to drive many business and product decisions. The Data Engineering team builds database solutions for reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and a data‑warehouse architecture, they serve as the foundation for decision‑making and enhance the developer experience by creating tools that support the organization’s high‑velocity demands.

About The Role

DoorDash is looking for a Data Engineering Manager to guide the development of enterprise‑scale data solutions. This manager will act as a technical expert on all things related to data architecture, empower data engineers, data scientists and partners, foster an engineering culture of excellence, and build a top‑performing team in a dynamic, fast‑paced environment.

Responsibilities

• You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams
• You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability
• You strive for continuous improvement of data architecture and development process
• You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into easy to use data assets and reusable components
• You are excited about cross collaboration with stakeholders, external partners and peer data leaders
• You are a planner and executioner. You know the tools to plan for short term and long term team and stakeholder success
• You think of reliability and quality as must have

Qualifications

• B.S., M.S., or Ph.D. in Computer Science or equivalent
• 10+ years of experience working in data engineering, data platform or a related domain
• 2+ years of hands‑on management experience
• Exceptional communication and leadership skills, experience hiring and growing teams with a proven ability to operate in a fast moving environment
• Experienced with performance management, coaching, mentoring and growing teams
• Familiar with programming languages Python/Kotlin and SQL
• Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
• Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming, etc.
• Familiarity with various data lake file formats such as Delta Lake, Apache Iceberg, Glue Catalog, S3, etc
• Experience with these specific technologies is not required but helpful
• Building systems directly powering online applications
• Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL
• Proficient in system design and with a strong understanding and application of AI solutions in data space

This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace. If you need any accommodations, please inform your recruiting contact upon initial connection.