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Data Storage Manager Jobs in California (NOW HIRING)

OpenAI

Data Engineer, CPU & Storage

San Francisco, CA · On-site

$140 - $210/hr

As OpenAI's infrastructure footprint grows, CPU and storage data increasingly spans internal platforms, vendor systems, APIs, databases, object storage, capacity management systems, and operational ...

Pwc

Data Engineer - Manager

San Diego, CA · On-site

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Pwc

Data Engineer - Manager

Sacramento, CA · On-site

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Pwc

Data Engineer - Manager

Los Angeles, CA · On-site

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Pwc

Data Engineer - Manager

Irvine, CA · On-site

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Photon

Data Architect | California

San Diego, CA · On-site

$67.75 - $87/hr

Manage and optimize databases, ensuring data integrity, security, and compliance. Implement best practices for data storage and retrieval. Integration: Collaborate with cross-functional teams to ...

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All JobsData Storage JobsData Storage Manager JobsData Storage Manager Jobs in California

Data Storage Manager information

See California salary details

$27.5K

$105K

$184.6K

How much do data storage manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data storage manager in California is $105,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $135,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data storage managers in maintaining system reliability and data security?

Data Storage Managers often face challenges such as balancing storage scalability with cost, ensuring data availability, and protecting sensitive information from cyber threats. They must regularly monitor system performance, implement backup and disaster recovery solutions, and stay up-to-date with evolving security protocols. Collaboration with IT, cybersecurity teams, and business stakeholders is crucial to ensure data policies align with organizational needs and compliance requirements.

What does a data storage manager do?

A Data Storage Manager is responsible for overseeing the storage, organization, and security of an organization's digital data. They manage data storage systems such as servers, cloud solutions, and backup platforms to ensure data is accessible, reliable, and protected from loss or breaches. Their role often includes monitoring storage capacity, implementing data retention policies, coordinating disaster recovery efforts, and optimizing storage performance. Data Storage Managers work closely with IT teams to support business needs and ensure compliance with data regulations.

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

To thrive as a Data Storage Manager, you need a strong understanding of storage architecture, data backup and recovery, and IT infrastructure management, often supported by a degree in computer science or related certifications. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and tools like NetApp, EMC, or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These skills ensure reliable, secure, and efficient data storage solutions that support organizational operations and data integrity.

What is the difference between Data Storage Manager vs Data Analyst?

AspectData Storage ManagerData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CompTIA Storage+Bachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst
Work EnvironmentData centers, IT departments, enterprise storage facilitiesOffices, research labs, data analysis teams
Employer & Industry UsageIT firms, large corporations, cloud providersMarketing, finance, healthcare, consulting firms
Common Search & ComparisonFocuses on managing storage infrastructure and data securityFocuses on analyzing data to generate insights

The Data Storage Manager primarily oversees data storage infrastructure, ensuring data security and efficient management. In contrast, a Data Analyst interprets data to support decision-making. While both roles require technical knowledge, their focus areas differ significantly, making them distinct career paths within the data industry.

What are the most commonly searched types of Data Storage jobs in California? The most popular types of Data Storage jobs in California are:
What are popular job titles related to Data Storage Manager jobs in California? For Data Storage Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Storage Manager jobs in California look for? The top searched job categories for Data Storage Manager jobs in California are:
What cities in California are hiring for Data Storage Manager jobs? Cities in California with the most Data Storage Manager job openings:
Data Storage Manager jobs near you
Infographic showing various Data Storage Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $105,049 per year, or $50.5 per hour.

Senior Software Engineer - Distributed Data Systems

Databricks

San Francisco, CA

$144K - $190K/yr

Full-time

Re-posted 16 days ago

Job description

P-59

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark: Develop the de facto open source standard framework for big data.

Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.

Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.

Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

What we look for:

  • BS (or higher) in Computer Science, related technical field or equivalent practical experience.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated by delivering customer value and impact.
  • 5+ years of production level experience in either Java, Scala or C++.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Apply