Engineering Manager, Data - Brazil - Vaga para mulheres

DoorDash; São Paulo; Presencial; BRL 150 000 - 250 000; Tempo integral

Resumo da oferta

DoorDash in São Paulo, Brazil is seeking a skilled Data Engineering Manager to lead the development of enterprise-scale data solutions. The role focuses on nurturing a high-performing team while ensuring engineering excellence and innovative solutions.

With 10+ years in data engineering and proven leadership skills, this position is pivotal for driving strategies that meet evolving business needs. Familiarity with technologies like Python, SQL, and the AWS ecosystem is essential, while experience with tools like Snowflake and Databricks is advantageous.

Qualificações

• 10+ years of experience in data engineering or related domain.
• 2+ years of hands-on management experience.
• Experience hiring and growing teams.

Responsabilidades

• Lead and nurture impactful data teams.
• Drive technical and strategic vision for scalability.
• Plan for both short-term and long-term stakeholder success.

Conhecimentos

Data engineering

Communication skills

Leadership

Python

SQL

AWS

ETL orchestration

System design

Formação académica

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

Ferramentas

Snowflake

Databricks

Spark

Trino

Kafka

Airflow

Descrição da oferta de emprego

About The Team This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

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.

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 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

EEO Statement

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.