Data Architect

Tesla

Responsibilities

  • Tesla’s Business Analytics team mission is to convert data into actionable reporting, insights, and automation. We are looking to hire a Sr. Data Architect dedicated to design & maintain our team’s data pipelines and manage our internal database. We are committed to hiring the world’s best and brightest people who can sit at the intersection of multiple of these disciplines and are passionate about continuing to develop their skills further. We believe that small agile teams using modern development stacks and comprised of diverse members with complementary skill sets can have an outsized impact in driving better decisions and automating core business processes.

Requirements

  • Mastery of relational databases and SQL
    5+ years of experience working in data architecture or a related
    field
    Experience building, deploying, maintaining, and optimizing master
    data pipelines
    Deep understanding of data architecture best practices such as
    normalizing data structures, minimizing logic complexity, defining intuitive
    and consistent semantic layers, and eliminating redundancy
    Experience with Unix/Shell and Python or comparable programming
    language
    Experience with big data technologies such as Apache Spark, Kafka,
    and other data processing frameworks
    Experience with orchestrating and deployment tools such as Docker, Apache Airflow and CI/CD tools (Jenkins, Travis CI, Circle CI, etc
    Experience with git and version control workflows
    Self-motivated with a strong work ethic
    Embrace of change and rapid pace of work

    Preferred Skills
    Bachelor’s degree in Computer Science or Data Science
    Experience with ETL frameworks
    Experience with Hadoop ecosystem
    Experience with Continuous Integration and Automated Test tools Tableau