Engineering Manager, Data

DoorDash Brazil; São Paulo; Presencial; BRL 334 800 - 446 400; Tempo integral

Resumo da oferta

DoorDash Brazil is seeking a Data Engineering Manager to lead the development of enterprise-scale data solutions. In this role, you will empower data engineers and drive innovation in a fast-paced environment.

The ideal candidate will have a strong background in data architecture, management experience, and exceptional leadership skills. Join us to make data a winning edge for DoorDash!

Qualificações

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

Responsabilidades

• Guide the development of enterprise-scale data solutions.
• Drive the technical and strategic vision for data teams.
• Foster an engineering culture of excellence.

Conhecimentos

Leadership

Data architecture

Communication

Python

SQL

Formação académica

B.S., M.S., or PhD in Computer Science or equivalent

Ferramentas

AWS

Snowflake

Databricks

Airflow

Descrição da oferta de emprego

DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization’s high‑velocity demands.

To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash.

About the Role

DoorDash is looking for a Data Engineering Manager to guide the development of enterprise‑scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you’ll play a pivotal role in building and nurturing a top‑performing team, driving innovation and success in a dynamic, fast‑paced environment.

You’re excited about this opportunity because you will…

• 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

We’re excited about you because you have…

• B.S., M.S., or PhD 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table, and the tools, resources, and opportunity to excel.

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.