Staff Data Engineer, Big Data Engineering

The hands-on Staff Data Engineer is responsible for designing and architecting highly scalable data storage solutions and platforms/tools for vehicle data, manufacturing, sales, finance and other data systems. If you enjoy architecting large-scale systems, working with a talented team of engineers, and collaborating with some of the brightest minds in the Automotive industry, Lucid is the place to experience it.

The Role:

• Data Platform Leadership: Lead the architecture, design, and development of big data streaming systems and tools on business priorities and cost optimization.

• Technology Utilization: Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing.

• Team Leadership: Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution.

• Application Architecture: Collaborate on application architecture and deep understanding of cloud data applications. Being able to close the gap between infrastructure and the data team.

• Strategic Vision for Data Integration: Drive the technical and strategic vision for our data platform and work closely with the infrastructure team to meet current and future scalability and interoperability needs.

You Bring:

• B.S. or M.S. in Computer Science or a related field.

• 10+ years of hands-on industry experience in data architecture or software engineering.

• 3+ years of experience architecting solutions and platform deployment for big data environments.

• Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag, MQTT, and gRPC.

• Proven experience in architecting streaming, real-time, and near real-time data pipelines using tools like Spark or Kafka.

• Working knowledge of data lake architectures with Parquet and HCatalog.

• Ability to cultivate a strong sense of ownership and build a culture of accountability within the team.

• Openness to new ideas and the ability to evaluate multiple approaches, selecting the best based on fundamental qualities and supporting data.

• Exceptional communication skills to articulate highly technical problems and solutions to diverse audiences, from engineers to executive leadership.

• Proven track record of setting technical vision and delivering results in a collaborative, cross-functional environment.