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Data Privacy Jobs in Portland, OR (NOW HIRING)

Talent Groups

Procurement Manager

Vancouver, WA · On-site

Ensure vendor agreements comply with company policies, data privacy requirements, and regulatory standards. * Improve procurement processes, workflows, and tools. * Support technology, cloud, AI ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Privacy Specialties Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our Client ...

Danone

Production Operator - Portland Plant

Portland, OR · On-site

$25.77/hr

For our EEO policy statement and your EEO rights under law click here. #LI-DNP #IND-POR California Data Privacy Law Qualifications: Danone U.S. is part of Danone North America, a purpose-driven ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Privacy Specialties Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our client ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Privacy Specialties Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our client ...

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Showing results 1-20

All JobsData Privacy JobsData Privacy Jobs in Portland, OR

Data Privacy information

See Portland, OR salary details

$12

$56

$99

How much do data privacy jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data privacy in Portland, OR is $56.59, according to ZipRecruiter salary data. Most workers in this role earn between $40.09 and $72.50 per hour, depending on experience, location, and employer.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What Are Data Privacy Jobs?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

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

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.
More about Data Privacy jobs
What are the most commonly searched types of Data Privacy jobs in Portland, OR? The most popular types of Data Privacy jobs in Portland, OR are:
What are popular job titles related to Data Privacy jobs in Portland, OR? For Data Privacy jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Privacy jobs in Portland, OR look for? The top searched job categories for Data Privacy jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Privacy jobs? Cities near Portland, OR with the most Data Privacy job openings:
Data Privacy jobs near you
Infographic showing various Data Privacy job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,710 per year, or $56.6 per hour.
Finance Operate - Manager, Integration & Data Lead

Finance Operate - Manager, Integration & Data Lead

Deloitte

Portland, OR

Other

Posted 10 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services

Job description

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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