Principal Data Architect, Big Data Platform

About the position

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The hands-on Principal Data Architect is responsible for designing and architecting highly scalable data storage solutions and pipelines 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.

Responsibilities

• Lead the architecture, design, and development of big data streaming systems and business data consolidation based on business priorities and cost optimization.
• Design IoT systems to facilitate communication and data movement between vehicles and the cloud.
• Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing.
• Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution.
• Set technical direction and roadmaps, guiding the evolution of our data systems to meet future business needs.
• Collaborate on application architecture and deep understanding of cloud data applications.
• Develop, communicate, and advocate for the long-term technical vision and roadmap for data storage, ingestion, and retrieval in collaboration with technical leads.
• 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.

Requirements

• Bachelors or Masters 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 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.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Vacation
• 401k
• Equity program
• Discretionary annual incentive program