Engineering Manager, Big Data and Analytics

Leading the future in luxury electric and mobilityAt 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.We are looking for a Hands-on Big Data Engineering Manager who is looking for a challenge, enjoys thinking big, and looking to make their mark on an extremely fast-growing company. If building large and building fast, working with a young and very talented team of engineers, and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it. 

Role

• Hands-on architecture, design, and development of big data systems, pipelines, and processing including ETLs, Analytics.
• Build and grow an amazing team of data engineers with a strong culture of balancing excellence with moving fast.
• Lead and manage the team as a hands-on technical leader. Help the team make key technical decisions, unblock the team, and guide the team on execution. 
• Set technical direction, roadmaps and guide evolution of our data systems.
• Utilize cutting edge distributed big data technologies such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, ORC, Presto, Redshift, and Airflow
• Hands-on application development with Scala, Golang or PySpark 
• Develop, communicate, and evangelize the long-term technical vision and roadmap for data storage, ingestion, and retrieval in collaboration with the technical leads
• Drive the technical and strategic vision for our data integration infrastructure in order to meet current and future needs for scale and interoperability
• Partner with data platform and product engineering teams to design warehouse schemas, develop & maintain ETLs, and define data architectures to ensure consistent, seamless tracking, and measurement of key company and product metrics. 
• Partner with other engineering leaders to evolve and improve engineering culture in a high-paced growth environment. 

Qualifications

• B.S. or M.S. in Computer Science, or equivalent
• 10+ years of hands-on industry experience working in data engineering, business intelligence, or a related domain.
• 3+ years of software/Data engineering management experience working with Big Data
• Deep knowledge of modern data/compute infrastructure and frameworks, such as Elasticsearch, Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, ORC, Presto, Redshift, and Airflow.
• Batch Orchestration and management using tools such as Apache Airflow. 
• Experience Developing streaming, real-time and near real-time data pipelines with tools such as Spark or Kafka. 
• Working knowledge of Data Lake with Parquet and HCatalog. 
• Proficient with standard data warehousings such as data architecture, data modeling, storage, and query optimization. 
• Ability to cultivate a strong sense of ownership, and build a culture of accountability in your team
• Openness to new or different ideas and ability to evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data
• Ability to communicate highly technical problems and solutions at all levels from engineers to top leadership
• Proven track record of building high functioning teams, setting technical vision, and delivering results in a collaborative, cross-functional organization. 

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United StatesAt Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer's guidelines on their first day of employment. Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.