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Data Classification Jobs in California (NOW HIRING)

East West Bank

Data Governance

Pasadena, CA · On-site

$115K/yr

Support governance activities related to data classification, sensitive data handling, access governance, retention, lifecycle management, and audit requirements. * Prepare governance reporting ...

East West Bank

Data Governance

Pasadena, CA · On-site

Support governance activities related to data classification, sensitive data handling, access governance, retention, lifecycle management, and audit requirements. * Prepare governance reporting ...

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site

$200K - $240K/yr

Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. * Demonstrate proficiency with frequent-used scripting language (Python, bash ...

Cotality

Senior Appraisal Data Steward

Irvine, CA

Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. You will champion and contribute to this process ...

VIMO INC.

Data Analyst

Mountain View, CA

Compliance with access control, data classification, and applicable legal and regulatory requirements is required. Basic Qualifications: * 5+ years of experience Data Analysis or related fields

VIMO INC.

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Compliance with access control, data classification, and applicable legal and regulatory requirements is required. Basic Qualifications: * 5+ years of experience Data Analysis or related fields

Ventura Foods

Principal Data Governance

Irvine, CA · Hybrid

Designs and owns the enterprise data governance framework - covering data classification, ownership models, access controls, retention policies, and governance operating procedures. Owns the ...

Ventura Foods

Principal Data Governance

Irvine, CA · On-site

Designs and owns the enterprise data governance framework - covering data classification, ownership models, access controls, retention policies, and governance operating procedures. Owns the ...

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

Enforce best practices for data security, role‑based access, and data classification across platforms. * Ensure compliance with enterprise data governance and regulatory requirements. DevOps, CI/CD ...

Ventura Foods

Principal Data Governance

Irvine, CA · Hybrid

Designs and owns the enterprise data governance framework -- covering data classification, ownership models, access controls, retention policies, and governance operating procedures. Owns the ...

Ventura Foods

Principal Data Governance

Irvine, CA · Hybrid

Designs and owns the enterprise data governance framework -- covering data classification, ownership models, access controls, retention policies, and governance operating procedures. Owns the ...

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Data Classification information

What jobs make $1,000,000 a year?

In the field of data classification, high-paying roles such as Chief Data Officer or senior data science executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options.

What is the role of data classification?

Data classification is a key responsibility in data management roles, involving categorizing data based on sensitivity, importance, or usage to ensure proper handling and security. It helps organizations implement appropriate access controls, comply with regulations, and protect sensitive information effectively.

What are the key skills and qualifications needed to thrive in the Data Classification position, and why are they important?

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the 4 types of data classification?

Data classification involves categorizing data based on its sensitivity and importance. The four common types are public, internal, confidential, and restricted data. Data classification helps organizations implement appropriate security measures and compliance protocols.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What is the highest paying data job?

Data scientists and data engineers are among the highest paying roles in data-related fields, often earning six-figure salaries depending on experience, location, and industry. Advanced skills in machine learning, big data tools, and programming languages like Python or SQL can further increase earning potential.
What are the most commonly searched types of Data Classification jobs in California? The most popular types of Data Classification jobs in California are:
What are popular job titles related to Data Classification jobs in California? For Data Classification jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in California look for? The top searched job categories for Data Classification jobs in California are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in California as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science

Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science

Amazon

Hawthorne, CA

$116K - $139K/yr

Full-time

Posted 21 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,925 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We seek an AI Platform Builder-a Data Engineer focused on developing Platforms and Agentic AI solution-who embraces prompt-driven development with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering-requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across various verticals. You will design, evangelize, and implement platform features and curated datasets that power Artificial Intelligence/Machine Learning (AI/ML) initiatives and self-service analytics, helping us provide a great neighbor experience at greater velocity.
This role requires a first-principles approach to leveraging AI at every layer of the data stack-from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessible

You will use AI to build AI infrastructure, automate the automation, and create self-improving systems that continuously enhance data quality, discoverability, and usability.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms using an AI-first development methodology. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging AI-powered solutions and agentic frameworks to build continuously improving systems.
A day in the life
* Lead AI-assisted stakeholder engagement sessions across verticals like Subscriptions, Security, Sales, and Marketing
* Design and build curated datasets leveraging AI code generation and Agentic AI tools
* Build and maintain data pipelines using AI-assisted development with AWS services and internal Amazon tools
This Role will:
* Implement AI-powered self-service platforms with natural language interfaces
* Create intelligent governance systems for data classification, PII detection, and lineage tracking
* Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively
About the team
The Analytics & Science team for Decision Sciences is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence (BI) support across multiple teams, and build customer-facing and internal AI tools that fundamentally improve how effectively and quickly the organization makes decisions.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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