layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Engineering Manager, Data Platform and AI at Lucid Motors

Lead Data & AI Platform Engineering
Define and execute the strategy and roadmap for enterprise data, telemetry, and AI platforms.
Lead, mentor, and grow a high-performing team of data and platform engineers.
Drive engineering excellence through automation, operational rigor, and modern development practices.
Partner with business and technology leaders to deliver high-impact data products and capabilities.
Build and Scale Data Platforms
Own the architecture, reliability, performance, security, and cost efficiency of the enterprise data platform on AWS.
Lead the design and operation of Amazon Redshift, including data modeling, distribution and sort strategies, workload management, scaling, performance tuning, access controls, and cost optimization.
Develop and operate scalable data lakes, warehouses, streaming platforms, orchestration frameworks, and self-service data capabilities.
Establish reusable platform patterns, data contracts, metadata standards, and automation that improve delivery speed and operational consistency.
Lead Enterprise & Telemetry Data Engineering
Build and operate high-volume, resilient batch and real-time pipelines that ingest vehicle telemetry and data from enterprise applications.
Integrate and stitch telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views.
Address schema evolution, late-arriving events, time-series processing, event ordering, data contracts, and vehicle-to-enterprise identity resolution.
Curate governed, reusable data products and standardized business entities that support analytics, engineering diagnostics, machine learning, and Generative AI.
Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams.
Drive Data Quality, Governance, and Operational Excellence
Define and enforce data quality standards, ownership, controls, and measurable SLAs across critical data products.
Implement data profiling, validation, reconciliation, lineage, observability, anomaly detection, and root-cause remediation capabilities.
Establish monitoring, incident management, disaster recovery, and service-level objectives for business-critical data services.
Lead platform modernization, performance optimization, security, compliance, and cloud cost optimization initiatives.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
12+ years of experience in data engineering, data platform engineering, distributed systems, or large-scale data technologies.
6+ years of experience leading engineering teams and delivering enterprise-scale, production data solutions.
Deep hands-on expertise in Amazon Redshift, including dimensional modeling, distribution and sort strategies, workload management, query and storage optimization, security, scaling, and cost management.
Proven experience integrating high-volume vehicle, IoT, connected-product, or telemetry data with enterprise transactional and master data.
Strong knowledge of data quality management, including profiling, validation, reconciliation, lineage, observability, quality metrics, and remediation processes.
Experience creating curated, governed, reusable data products and AI-ready datasets for analytics, machine learning, and Generative AI.
Deep understanding of batch and streaming architectures, schema evolution, event processing, time-series data, data contracts, and distributed data systems.
Strong AWS experience and hands-on knowledge of technologies such as S3, Glue, Lambda, Kinesis or Kafka, Airflow, Spark, IAM, Terraform, CI/CD, and observability platforms.
Strong programming skills in Python and SQL, with experience in Java and/or Scala preferred.
Strong software engineering foundation and experience operating secure, reliable, petabyte-scale data platforms in production.
Excellent communication and stakeholder management skills, with the ability to translate business and AI use cases into scalable technical solutions.

benefits package

including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. 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.
This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.
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.

Senior Engineering Manager, Data Platform and AI

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