Engineering Manager, Data

DoorDash; São Paulo; Presencial; BRL 420 000 - 650 000; Tempo integral

Resumo da oferta

DoorDash is seeking a Data Engineering Manager to guide enterprise-scale data solutions and act as a technical expert on data architecture. You will empower data engineers, data scientists, and partners while building a top-performing team in a fast-paced environment.

You will hire and grow teams, drive the vision for embedded pods and scalable data assets, and collaborate with stakeholders to ensure reliability and engineering excellence.

Qualificações

• PhD/MS/BS in CS or equivalent.
• 10+ years in data engineering / data platform domains.
• 2+ years hands-on management experience.
• Excellent communication and leadership in fast-paced environments.
• Experience with Snowflake, Databricks, Spark, Trino, Pinot.
• AWS ecosystem with Airflow, Kafka, Spark Streaming.
• Familiarity with Delta Lake, Iceberg, Glue Catalog, S3.

Responsabilidades

• Lead and grow data teams as a people leader.
• Set technical and strategic vision for data architecture.
• Drive continuous improvement of data architecture and development processes.
• Break down large systems into reusable data assets and components.
• Collaborate with stakeholders, partners, and peer data leaders.
• Plan for short- and long-term team and project success.
• Prioritize reliability and data quality.

Conhecimentos

Data engineering experience

Leadership / people management

Communication / leadership

Python / Kotlin

SQL

System design

AI in data space

Airflow / Kafka / Spark Streaming

Snowflake / Databricks / Spark / Trino

Delta Lake / Iceberg / Glue / S3

Formação académica

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

Ferramentas

Snowflake

Databricks

Spark

Trino

Pinot

Airflow

Kafka

Spark Streaming

Delta Lake

Apache Iceberg

Glue Catalog

CockroachDB / Cassandra / PostgreSQL

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

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About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks.

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.
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As set forth in DoorDash’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.