Senior Data Pipeline Engineer, Team Lead

We are seeking a talented **Senior Data Pipeline Engineer**, **Team Lead **to implement robust large scale data processing and transformation pipelines for our Data Pipelines team under Data Platform.

The Data Platform builds a scalable compute platform that is used throughout the company, enabling a diverse set of teams to access data, extract meaningful automated metrics out of the data, and perform various ad-hoc analyses on the data. We deal with data on the Petabyte scale and provide critical functions to improve the development of a reliable AV by allowing various researchers and engineers to understand how the AV performs various tasks and scenarios in real world or simulated environments. The Data Pipelines team is responsible for building automated pipelines to perform extraction of information from the data, transformation of data into different formats that can be consumed by downstream services and for building interfaces to enable easy access to the data.

**What You'll Be Doing**
- Lead and grow a technical team of Engineers to build processes, software, and infrastructure that scales to support the company's overall Data Platform strategy
- Provide technical leadership to make significant decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction
- Be a mentor and a resource person to provide both technical and professional feedback to the team
- Work closely with users, leadership, and stakeholders (product, engineering, program, and operations) to align and coordinate product design, project execution, and operational usage in setting and achieving objectives and key results
- Build highly reliable and highly scalable mapping software that serves the needs of our fleet of self-driving cars
- Design, build and maintain scalable data pipelines in the cloud infra.
- Implement interfaces to enable building of self service data pipelines
- Assist with high-level system design, and code reviews
- Take a strong sense of ownership and responsibility for mentoring.

**What We're Looking For**
- 5+ years of professional work experience as a data engineer or data pipeline engineer
- BS or MS in Computer Science or related field
- Expertise with Python programming and SQL
- Experience with large scale compute
- Experience with AWS services and solutions
- Strong written and oral communication skills
- Comfortable working in a fast-paced, continuous delivery environment

**Bonus Points (not required)**
- Experience with Docker, Kubernetes, Ansible, and Terraform
- Experience with distributed systems design and architecture
- Experience with Infrastructure Monitoring
- Experience working in cross-functional development teams
- Experience working with microservices

**Motional is a driverless technology company making self-driving vehicles a safe, reliable, and accessible reality.**

The Motional team is made up of engineers, researchers, innovators, dreamers and doers, who together are creating a first-of-its-kind technology with the potential to transform the way we move. We're behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's most-established public robotaxi fleet.

As a leader in an emerging industry that has the promise of creating safer, more reliable and accessible transportation for all, it's imperative we have a diverse workforce, create an inclusive culture, and understand the communities we operate in around the world.
- Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility._