Engineering Manager, Data Mobility Frameworks

About the Team

DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Data Platform org owns all the infrastructure necessary to run an operationally efficient analytical data stack. The Data Mobility Frameworks team aims to provide a scalable and reliable compute framework layer capable of processing trillions of data points per day. This framework is essential for enabling timely business-critical decision-making, facilitating rapid experimentation, and supporting the training and deployment of ML/AI models for real-time personalization.

The Frameworks team is dedicated to developing advanced big data compute frameworks that manage standard processing logic while accommodating custom requirements through plugin models. The team architects and maintains a data mesh layer, enabling decentralized, self-serve data management with built-in safeguards to ensure reliability and efficiency. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands.

About the Role

As the Engineering Manager for DoorDash's Frameworks team, your role is paramount in steering our data mobility initiatives. You'll lead a team dedicated to crafting core big data compute frameworks and a data mesh layer, ensuring a clear architecture that efficiently manages standard processing logic and custom requirements. 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…

• Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business

• You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and flexibility of the frameworks compute platform

• A well run, successful team via coaching, mentoring and providing technical and career guidance

• Build, sustain, and grow a diverse team to address the growing needs of the organization

• Collaborate with stakeholders building solutions on top of the platform

• Foster a positive and supportive work culture

We're excited about you because you have…

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

• 7+ years of industry experience

• 2+ years of experience in an engineering management role.

• Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink.

• Familiarity with Datalake solutions such as Delta Lake, Apache Iceberg.

• Familiarity with a cloud based environment such as AWS

• 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.

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

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