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Data / AILucidmotors· Newark, CA

Engineering Manager, Data Engineering & Infrastructure

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AI & Data Eng

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. 

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

The Engineering Manager, Data Engineering & Infrastructure leads a team of data engineers, and infrastructure engineers supporting Powertrain, Battery, and Manufacturing Engineering. This role combines people leadership, technical direction, and architectural ownership of data platforms and cloud/on-prem infrastructure. The Engineering Manager is accountable not only for defining and guiding the technical direction of data architecture and infrastructure, but also for the day-to-day effectiveness, growth, and delivery of the engineering team. This includes mentoring engineers, providing ongoing technical guidance, supporting daily execution, and establishing clear technical standards and priorities. Success in this role requires being close enough to the work to coach engineers and guide technical decisions, while operating at the appropriate level to align roadmaps, stakeholders, and long-term platform strategy.

 

Key Responsibilities

People Leadership & Team Enablement

  • Directly manage, mentor, and develop data engineering and infrastructure engineers, supporting both technical growth and career progression.
  • Provide consistent technical mentorship, including architecture discussions, design reviews, and guidance on implementation trade-offs.
  • Set clear expectations for engineering quality, operational ownership, documentation, and reliability.
  • Establish and maintain effective team operating rhythms (standups,planning, retrospectives) that balance execution with sustainable delivery.
  • Foster a collaborative, inclusive engineering culture that emphasizes learning, accountability, and continuous improvement.

 

Technical Direction & Architecture

  • Own and guide the technical direction of data platforms and infrastructure supporting Powertrain, Battery, and Manufacturing Engineering.
  • Serve as a technical leader and sounding board for engineers, helping shape scalable, reliable, and maintainable system designs.
  • Ensure architectural decisions are well-documented, communicated, and consistently applied across the team.
  • Balance near-term delivery needs with long-term platform health, scalability, and maintainability.

 

Delivery & Execution

  • Own prioritization, planning, and delivery across data engineering and infrastructure workstreams.
  • Actively unblock engineers by resolving cross-team dependencies with IT,
  • Cloud, Security, Manufacturing, and Test organizations.
  • Translate engineering and business needs into clear technical roadmaps and executable plans.
  • Maintain appropriate visibility into execution details, stepping in when technical risk, ambiguity, or complexity is high.

 

Platform Operations & Reliability

  • Ensure reliable operation of data pipelines, analytics platforms, and infrastructure supporting manufacturing and test environments.
  • Lead incident response for data or infrastructure issues, including post-incident reviews and follow-up actions.
  • Champion best practices for security, access management, observability, documentation, and operational readiness.

 

Required Qualifications

  • 10+ years of professional experience in data engineering, infrastructure engineering, or closely related technical fields.
  • Demonstrated experience managing and mentoring data engineering and/or infrastructure engineering teams.
  • Strong technical background in data platforms, data pipelines, and analytics infrastructure.
  • Experience providing hands-on technical guidance, including architecture and design reviews.
  • Familiarity with cloud infrastructure (e.g., AWS) and hybrid on-prem/cloud environments.
  • Ability to work effectively across engineering, IT, security, and operations organizations.

 

Preferred Qualifications

  • Experience supporting manufacturing, industrial, or test-heavy engineering environments.
  • Familiarity with analytics and data platforms such as Dremio, Iceberg, InfluxDB, or equivalent technologies.
  • Experience with factory systems (e.g., Ignition, MES) and manufacturing data pipelines.
  • Background in automotive, EV, or industrial engineering environments.
 
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.
Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
 
Base Pay Range (Annual)
$171,100$250,910 USD

Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. 

 

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. 

 

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations@lucidmotors.com. 

 

Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. 

 

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.