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Data Infrastructure Manager Jobs in California (NOW HIRING)

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and ... Proven experience in managing infrastructure for large-scale AI or machine learning projects

Alljoined

Data Infrastructure Engineer

San Francisco, CA · On-site

$140K - $180K/yr

About the Role As a Data Infrastructure Engineer , you will build the backend and hardware ... Experience managing networking for distributed GPU training (InfiniBand, RoCE) or optimizing zero ...

Figma

Software Engineer, Data Infrastructure

San Francisco, CA · On-site +1

$134K - $162K/yr

Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems. * Improve data reliability, consistency, and compliance, ensuring high ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Data Infrastructure Engineer to enhance their AI data infrastructure by building tools and software components for managing robot data and cloud resources.

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... Architect and manage storage and compute resources across on-premise and cloud environments at a ...

Figma

Software Engineer, Data Infrastructure

San Francisco, CA · On-site

$134K - $162K/yr

Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems. * Improve data reliability, consistency, and compliance, ensuring high ...

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Data Infrastructure Manager information

What are the key skills and qualifications needed to thrive as a Data Infrastructure Manager, and why are they important?

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 are Data Infrastructure Managers?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Infrastructure Engineer

HeyGen

Los Angeles, CA • On-site

$115K - $151K/yr

Full-time

Posted 14 days ago

Job description

About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.
Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
  • Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
    • Large scale data acquisition
    • Multi-modal data processing framework and applications
    • Storage and computation efficiency
    • AI model evaluation and productionization infrastructure
  • Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
  • Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
  • Assist in budget planning and management of cloud resources and other infrastructure expenses.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Proven experience in managing infrastructure for large-scale AI or machine learning projects
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Proficiency in Python
  • Experience optimizing computational workflows
  • Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.

Preferred Qualifications:
  • Experience with GPU computing
  • Experience with distributed data processing system
  • Experience building large scale batch inference system
  • Prior experience in a startup or fast-paced tech environment.

What HeyGen Offers
  • Competitive salary and benefits package.
  • Dynamic and inclusive work environment.
  • Opportunities for professional growth and advancement.
  • Collaborative culture that values innovation and creativity.
  • Access to the latest technologies and tools.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About HeyGen

Sourced by ZipRecruiter

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

Social media

Twitter

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