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Role: Consent & Privacy Management (CPM) Solutions Engineer
Location: Phoenix, AZ – Onsite
Role Summary:
We are looking for a Privacy Technology Solutions Engineer to lead the design, implementation, and optimization of enterprise privacy technology solutions, with a primary focus on Consent Management and Preference Management.
The role involves designing scalable consent architectures, integrating privacy controls across digital, marketing, analytics, and enterprise platforms, and ensuring compliance while supporting business, analytics, personalization, and customer experience objectives.
Key Responsibilities:
Lead end-to-end delivery of privacy technology solutions, including requirements, design, configuration, integration, testing, deployment, documentation, and knowledge transfer.
Configure and deploy Consent Management Platforms (CMP) such as Syrenis, Ketch, OneTrust, Cookiebot, or Didomi.
Design integrations with IAM, CRM, CDP, marketing platforms, data warehouses, analytics platforms, and downstream applications.
Establish integration frameworks, governance processes, onboarding standards, support models, and monitoring capabilities.
Define consent categories and establish clear data lineage for user preferences.
Integrate consent signals with Google Tag Manager, Segment, Adobe Experience Platform, and Server-Side Tagging.
Implement privacy technologies including Google Consent Mode v2 and IAB TCF 2.2.
Partner with Marketing, AdOps, Analytics, Digital Marketing, and UX teams to improve consent rates and implement privacy-first tracking strategies.
Design preference data pipelines integrating with CRM, CDP, Snowflake, Salesforce Marketing Cloud, and Marketo.
Develop analytics dashboards to monitor consent opt-in/opt-out rates and identify technical or UX issues.
Establish automated scanning processes to audit third-party tags, scripts, and cookies.
Required Qualifications:
Bachelor’s degree in Computer Science, Information Security, IT, or related field, or equivalent experience.
5+ years of experience in Digital Analytics, MarTech, or Data Engineering, including 3+ years with Consent Management Platforms.
Strong hands-on experience with enterprise CMP platforms such as Syrenis, OneTrust, Ketch, Cookiebot, or Didomi.
Advanced experience with Google Tag Manager, Tealium, or Adobe Launch.
Strong JavaScript, HTML, CSS, and browser storage knowledge including Cookies, LocalStorage, and IndexedDB.
Experience with REST APIs and Webhooks for consent-state integration.
SQL experience for analyzing consent event datasets.
Strong understanding of GDPR, CCPA/CPRA, IAB TCF 2.2, GPC, and Google Consent Mode v2.
Experience with server-side tagging and privacy-safe identity solutions.
Hands-on experience with GA4, Meta CAPI, Google Ads, Meta Pixel, Segment, and/or Tealium.

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