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Data Infrastructure Manager Jobs in California (NOW HIRING)

XPENG

Senior Data Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

As a Data Infrastructure Engineer, your role is to identify corner cases in autonomous driving ... Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable ...

XPENG

Senior Data Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

As a Data Infrastructure Engineer, your role is to identify corner cases in autonomous driving ... Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable ...

MDAEdge

IT Infrastructure Manager

San Diego, CA · On-site

MDAEdge is a company focused on IT solutions, and they are seeking an IT Infrastructure Manager to ... data security protocols, and disaster recovery plans. • Collaborate with Sr. Director of ...

Meta

Trust Infrastructure Manager - Finance

Menlo Park, CA · On-site +1

$182K/yr

Meta is seeking a Trust Infrastructure Manager to define platform strategy and drive large-scale ... Experience using data and metrics to drive application investment decisions and measure operational ...

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Data Infrastructure Manager information

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.
What are the most commonly searched types of Data Infrastructure jobs in California? The most popular types of Data Infrastructure jobs in California are:
What are popular job titles related to Data Infrastructure Manager jobs in California? For Data Infrastructure Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Manager jobs in California look for? The top searched job categories for Data Infrastructure Manager jobs in California are:
What cities in California are hiring for Data Infrastructure Manager jobs? Cities in California with the most Data Infrastructure Manager job openings:
Data Infrastructure Manager jobs near you
Infographic showing various Data Infrastructure Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Infrastructure Engineer

XPENG

Santa Clara, CA • On-site

$127K - $173K/yr

Other

Posted 10 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are looking for a Data Infrastructure Engineer with engineering background and development skills. As a Data Infrastructure Engineer, your role is to identify corner cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field; resolve corner cases with creative methods by leveraging in-house toolchains and work closely with Machine Learning Engineers and Annotation Team to apply principals of data-centric AI to resolve real-world problems.
 
Responsibilities
  • Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field.
  • Resolve edge cases with creative methods by leveraging in-house toolchains and working closely with Machine Learning Engineers & Annotation Team.
  • Monitor key efficiency metrics in edge case resolving process, analyze root causes of changes and provide constructive ways to improve the process
  • Build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines.
  • Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable and efficient use of large-scale autonomous driving data.
 
Requirements:
  • BS in Computer Science, or related fields (or relevant experience).
  • 3 + years industrial experience in the related field.
  • Proficient in both written and spoken English and Mandarin.
  • Passionate about autonomous driving technology.
  • Familiar with SQL and some prior experience with Python.
  • Experience with data lakes, data warehouses, ETL/ELT pipelines, distributed data processing, or cloud-based storage systems.
  • Familiarity with data modeling, schema design, data quality management, and workflow orchestration.
  • Strong communication skills.
  • Result-driven & can-do attitude.
 
What do we provide:
  • A fun, supportive and engaging environment.
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Competitive compensation package.
  • Snacks, lunches and fun activities.
 
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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