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Data Classification Jobs in Arizona (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Gilbert, AZ · Remote

$110K - $149K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

PNC Bank

Data Manager

Phoenix, AZ

Data Governance Develop and enforce data governance policies and procedures, focusing on data classification, retention, protection, and movement. Support compliance efforts to security and/or ...

New

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and ...

Deloitte

Cyber Data Protection/PKI Manager

Gilbert, AZ · On-site

$110K - $149K/yr

... Classification and Rights Management, Data Access Governance, Data Loss Prevention, Cloud Access Security Broker, Encryption, Certificate Lifecycle Management, Cloud Security, SaaS Security * 7+ ...

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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 popular job titles related to Data Classification jobs in Arizona? For Data Classification jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Arizona look for? The top searched job categories for Data Classification jobs in Arizona are:
Data Classification jobs near you
Infographic showing various Data Classification job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Data Security Posture Management (DSPM) Engineer

Thunderhawk Technology Partners

Phoenix, AZ • On-site

$113K - $136K/yr

Other

Posted 5 days ago

Job description

Role: SaaS Security Posture Management Engineer
Location: Phoenix, AZ (Onsite)
Duration: 6 Months+ Contract
Experience: 7+ Years
 
Required Skills:
  • 5+ years of experience in Cybersecurity, Data Security, Data Engineering, DSPM, or SSPM.
  • Hands-on experience with Data Security Posture Management (DSPM) tools and SaaS Security Posture Management.
  • Experience with IGDC/1touch for on-premises environments and Cortex for cloud platforms.
  • Strong knowledge of data discovery, data classification, and policy enforcement.
  • Expertise in structured and unstructured data ecosystems.
  • Experience with modern data architectures including data lakes, data warehouses, and distributed systems.
  • Strong understanding of PCI, PII, and other regulatory data security frameworks.
  • Experience integrating Data Catalog platforms, ITAM/CMDB, and SIEM/SOAR solutions.
  • Strong knowledge of REST APIs, event-driven architectures, and enterprise integrations.
  • Proficiency in Python scripting.
  • Experience with AWS, Azure, or Google Cloud Platform cloud platforms.
  • Strong troubleshooting, operational support, and security engineering experience.

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