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Enterprise Data Architect

Company: Lucid Motors
Location: Beaverton
Posted on: March 17, 2023

Job Description:

Leading the future in luxury electric and mobility

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.

Enterprise Data Architect is responsible to define and lead the Data Architecture, Data Quality, and Data Governance at lucid, for Enterprise and Operational data, ingesting, processing, and storing the data from multiple sources and transform and Model all of that data for Data Warehouse. This hands-on role helps solve data problems, which most of the standard tools on the market are not capable of handling. You will be designing solutions, writing codes and automation, defining standards, and establishing best practices across the company.


  • Design, implement and lead Data Architecture, Data Quality, and Data Governance across Lucid
  • Defining data modeling standards and foundational best practices
  • Develop and evangelize data quality standards and practices
  • Establish data governance processes, procedures, policies, and guidelines to maintain the integrity and security of the data.
  • Drive the successful adoption of organizational data utilization and self-serviced data platform.
  • Create and maintain critical data standards and metadata that allows data to be understood and leveraged as a shared asset
  • Develop standards and write template codes for sourcing, collecting, and transforming data for streaming or batch processing data.
  • Design data schemes, object models, and flow diagrams to structure, store, process, and integrate data
  • Provide architectural assessments, strategies, and roadmaps for data management.
  • Implement and manage industry best practice tools and processes such as Data Lake, Delta Lake, S3, Spark ETL, Airflow, Hive Catalog, and Redshift
  • Translate analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models.
  • Define templates and processes for the design and analysis of data models, data flows, and integration.
  • Lead and mentor Data Analytics team members in best practices, processes, and technologies in Data platforms Qualifications:
    • B.S. or M.S. in Computer Science, or equivalent degree
    • 10+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting.
    • 7+ years of hands-on experience in productionizing and deploying Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases
    • extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse.
    • Highly skilled in SQL, Python, AWS S3, Hive, Redshift, Airflow, and Tableau or similar tools.
    • Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with Amazon Web Services (AWS)
    • Strong verbal and written communication skills are a must and work effectively across internal and external organizations and virtual teams.
    • Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies.
    • Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem
    • Deep knowledge of data structures and algorithms.
    • Experience in working in large teams using CI/CD and agile methodologies

      Lucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

      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 protocols

      At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details.

      Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and 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.

Keywords: Lucid Motors, Beaverton , Enterprise Data Architect, Other , Beaverton, Oregon

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