Adobe CDP Consultant at Blend360

Wilmington, Delaware, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

61.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Adobe Experience Platform, Adobe Real-Time CDP, SQL, Data Modeling, Data Ingestion, Data Integration, Marketing Data Lake, Medallion Architecture, Data Governance, Identity Resolution, Schema Configuration, Segmentation Logic, Customer Identity Management, Product Analytics, Data Lineage, Privacy Controls

Industry

Professional Services

Description

Company Description end360 is a global AI services and consulting firm specializing in data science, advanced analytics, and cloud engineering. Founded in 2015, the company focuses on "blending" human expertise with artificial intelligence to help Fortune 1000 brands solve complex operational and marketing challenges. We are hiring an Adobe CDP Consultant to support a large-scale customer data and marketing platform initiative for a financial services client. This role focuses on designing, structuring, and enabling customer data for personalization, analytics, and marketing activation across the enterprise. The position works closely with Product, Marketing, Data Engineering, and Adobe platform teams to support customer data modeling, identity resolution, and data enablement across the Adobe ecosystem. Job Description Key Responsibilities Support data architecture and analytics use cases within Adobe Experience Platform and Adobe Real-Time CDP. Configure and validate profile schemas, event schemas, identity namespaces, and segmentation logic within the Adobe CDP environment. Design and maintain scalable entity-based data models for customer and marketing datasets. Partner with engineering teams to define data ingestion, transformation, and integration requirements for marketing and customer data sources. Support the structure and evolution of the marketing data lake powering analytics and activation. Apply medallion architecture principles (Bronze, Silver, Gold) to ensure reliable, analytics-ready datasets. Define and analyze product and customer analytics metrics for digital and marketing initiatives. Maintain data documentation, dictionaries, and governance artifacts aligned with enterprise standards. Work with data governance teams to ensure data lineage, privacy controls, and customer identity managementare implemented properly. Support cross-team collaboration across Product, Marketing, Engineering, and Adobe platform partners. Qualifications Required Skills Hands-on experience with Adobe Experience Platform (AEP) and Adobe Real-Time CDP. Strong SQL skills and experience working with large datasets. Experience with data modeling (conceptual, logical, and physical models). Experience supporting data engineering and data integration workflows. Experience working with marketing or customer data lakes. Experience with customer identity management, including identity namespaces and profile stitching. Experience performing data analysis and product analytics within digital or marketing environments. Preferred Experience Experience working within the Adobe marketing technology ecosystem. Experience supporting customer journey analytics and personalization platforms. Experience maintaining data dictionaries, data lineage, and governance documentation. Experience working in financial services or other regulated environments. Additional Information Employer: Blend360 Pay Rate: Up to $61/hour (W-2 only) Location: 100% Remote Employment Type: W-2 Contract (No C2C or 1099) Work Authorization: Must be authorized to work in the United States. No visa sponsorship, transfers, or dependent visa arrangements are available. Compensation: USD 60 - USD 61 - hourly

Responsibilities

This role focuses on designing, structuring, and enabling customer data for personalization, analytics, and marketing activation across the enterprise using Adobe Experience Platform and Real-Time CDP. Key tasks include configuring schemas, designing data models, and partnering with engineering teams on data integration requirements.