Remote Principal ML Data Infrastructure Lead

Generalmotors; Sunnyvale (CA); Hybrid; USD 275,000 - 348,000; Full time

Benefits offered by this job

Relocation benefits

GM vehicle program

Total Rewards resources

Job summary

General Motors seeks a Principal TLM to lead the ML data infrastructure team, shaping scalable data pipelines and robust architectures for AI initiatives. You will guide architects, ML engineers, and product partners, ensuring secure, compliant, and high-performing data platforms across projects.

The role requires 10+ years in data engineering with leadership experience, deep system design skills, and strong communication.

Qualifications

• 10+ years of experience in data engineering, software development, or a related field with a focus on ML data infrastructure.
• Proven experience in leading and managing technical teams.
• Deep expertise in designing, building, and operating large-scale data systems and Analytical Platforms.
• Proficiency in Python, Scala, and Java; strong understanding of ML data requirements.
• Solid understanding of Agile Methodology and experience working in an agile environment.

Responsibilities

• Lead and manage a team of engineers in the design, development, and maintenance of scalable and robust ML data infrastructure, ensuring high performance, reliability, and security.
• Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access within the ML ecosystem, utilizing Agile Methodology.
• Collaborate with ML engineers, data scientists, data platform engineers, and product teams to understand data requirements and translate them into technical specifications for the data infrastructure.
• Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for improvement in data pipelines and analytical platforms.
• Utilize strong understanding of data pipeline development and existing and upcoming technologies to design efficient data flows and system architectures.
• Oversee the evaluation and integration of new technologies and tools to enhance the ML data infrastructure capabilities.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
• Work with relevant partners to ensure compliance with data governance policies, security standards, and regulatory requirements.
• Participate in strategic planning and road mapping for the ML data infrastructure, aligning with overall company objectives.
• Proactively identify and address potential issues, demonstrating a Detail-Oriented approach to problem-solving.
• Utilise Qualitative Research to understand user needs and inform infrastructure development.

Skills

Leadership experience

Data engineering

ML data infrastructure

Python/Scala/Java

Agile methodology

System design

Data governance

Security

Communication

Detail-oriented

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

Scala

Java

Spark

Hadoop

Job description

General Motors seeks a Principal TLM to lead the ML data infrastructure team, shaping scalable data pipelines and robust architectures for AI initiatives. You will guide architects, ML engineers, and product partners, ensuring secure, compliant, and high-performing data platforms across projects.

The role requires 10+ years in data engineering with leadership experience, deep system design skills, and strong communication.