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Data Classification Jobs in Seattle, WA (NOW HIRING)

Data Architect US CITIZENS ONLY

Virginia, WA · On-site

$65.25 - $83.75/hr

Hands-on experience with Microsoft Purview (Metadata Management, Data Catalog, Business Glossary, Data Classification, and Data Lineage). * Strong experience with Microsoft Fabric, Azure Synapse ...

Cyber Data Protection Manager

Seattle, WA · Remote

$126K - $170K/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 ...

Experience with data classification frameworks, control design, and regulatory alignment (e.g., GDPR, HIPAA, PCI-DSS). PowerShell scripting for automation and reporting. Familiarity with Copilot/AI ...

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... data classification standards in collaboration with Legal and Cybersecurity to ensure appropriate handling of sensitive and regulated data • Create and own data modeling standards (conceptual ...

Data Architect

Bellevue, WA · On-site

$72 - $92.50/hr

Develop and enforce data classification standards in collaboration with Legal and Cybersecurity to ensure appropriate handling of sensitive and regulated data * Create and own data modeling standards ...

Data Architect

Bellevue, WA · Hybrid

$72 - $92.50/hr

Develop and enforce data classification standards in collaboration with Legal and Cybersecurity to ensure appropriate handling of sensitive and regulated data * Create and own data modeling standards ...

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Data Classification information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do data classification jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data classification in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

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 Seattle, WA? For Data Classification jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Seattle, WA look for? The top searched job categories for Data Classification jobs in Seattle, WA are:
Infographic showing various Data Classification job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.
Data Quality/ Data Governance - Mortgage

Data Quality/ Data Governance - Mortgage

Expert Technology Services

Tukwila, WA • On-site

Contractor

Posted 7 days ago


Job description

Job Summary (List Format):
- Role Focus: Blended Data Quality (DQ) and Data Governance (DG), with emphasis on data quality but also covering DG responsibilities.
- Industry: Mortgage industry experience preferred due to skill gap in mortgage terminology.
- Seniority: Seeking a super strong/senior candidate.
- Key Responsibilities:
- Oversee Data Governance processes including data catalog, business glossary, critical data elements, and metadata management.
- Manage data lineage and source-to-target mapping (STTM).
- Conduct data classification, cataloging, and Personally Identifiable Information (PII) identification using tools such as Collibra, Alation, and Informatica IDMC.
- Perform strong SQL-based data profiling and data quality analysis.
- Engage with business stakeholders for requirements gathering, business rule definition, and collaborate with data stewards and data owners.
- Interview Process: Video interview.
- Work Arrangement: Fully remote.
- Start Date: Anticipated within 2-3 weeks.
- Submission Requirements: LinkedIn profile is mandatory for all candidates.
- Background Check/Drug Screen: Not required.
- Visa Restrictions: None.