Sr. Manager, Data Engineering

About the position

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

Responsibilities

• Build a team of talented engineers that will work cross functionally to define, build, and execute best practices to ensure decisions are made using data.
• Lead and continue to build a world-class team of engineers by providing technical guidance and mentorship.
• Design and implement scalable data infrastructure to ingest, process, store, and access multiple data supporting flight test, manufacturing and supply chain, and airline operations.
• Build and support the development of novel tools to enable insight and decision making with teams across the organization.
• Evolve data engineering and AI strategy to align with the short and long term priorities of the organization.
• Evaluate data engineering tools and lead build vs. buy decisions that effectively balances performance and cost.
• Create and maintain documentation for data systems, models, and processes.
• Help to establish a strong culture of data that is used throughout the company and industry.
• Lead initiatives to integrate AI capabilities in new and existing tools.

Requirements

• 6+ years of experience in a similar role, 2 of which are in a data leadership role.
• B.S. in a quantitative discipline such as Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
• Expertise with data engineering disciplines including data warehousing, database management, ETL processes, and ML model deployment.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure.
• Demonstrated experience with data governance standards and practices.
• 3+ years leading teams, including building and recruiting data engineering teams supporting diverse stakeholders.

Nice-to-haves

• M.S. Degree in a quantitative discipline.
• Experience with aviation or a regulated industry.
• Detail oriented, especially when it involves customer success.
• Excellent verbal and written communication skills working with both technical and nontechnical stakeholders.

Benefits

• Base pay between $196,000 - $246,000.
• Commitment to diversity and inclusivity in the workplace.
• Reasonable accommodations for applicants with disabilities.