Senior Data Platform & AI Engineering Leader

Lucidmotors; Phoenix (AZ); On-site; USD 180,000 - 240,000; Full time

Job summary

Lucid Motors seeks an experienced Senior Engineering Manager, Data Platform and AI to lead strategy, architecture, delivery, and operation of an enterprise data platform handling high-volume vehicle telemetry and enterprise data.

You will build and lead a high-performing data and platform engineering team, own AWS-based platforms including Amazon Redshift, ensure data quality and governance, and collaborate with engineering, manufacturing, and finance to scale data solutions.

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.

Responsibilities

• 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.
• 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.
• Build and operate high-volume, resilient batch and real-time pipelines ingesting vehicle telemetry and enterprise data.
• Integrate telemetry with manufacturing, supply chain, sales, service, finance, and master data to create 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, ML, and Generative AI.
• Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams.
• 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 critical data services.
• Lead platform modernization, performance optimization, security, compliance, and cloud cost optimization initiatives.

Skills

Data engineering

Leadership

Amazon Redshift

Telemetry data

Data quality

Batch & streaming

AWS

Python

SQL

Java/Scala

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

S3

Glue

Lambda

Kinesis

Kafka

Airflow

Spark

IAM

Terraform

CI/CD

Observability

Job description

Lucid Motors seeks an experienced Senior Engineering Manager, Data Platform and AI to lead strategy, architecture, delivery, and operation of an enterprise data platform handling high-volume vehicle telemetry and enterprise data.

You will build and lead a high-performing data and platform engineering team, own AWS-based platforms including Amazon Redshift, ensure data quality and governance, and collaborate with engineering, manufacturing, and finance to scale data solutions.