. Customer Data Platform (CDP) Specialist (amperity CDP tool)
In the technology and marketing sectors, a CDP Specialist is a data-driven professional who manages the software used to unify customer data from various touchpoints into a single, comprehensive "golden record."
Core Responsibilities:
Data Integration: Managing the flow of data from sources like CRM, websites, apps, and billing systems into the CDP.
Identity Resolution: Implementing matching rules (deterministic/probabilistic) to deduplicate customer profiles.
Segmentation: Building audience segments for marketing campaigns and personalization.
Activation: Orchestrating data to downstream platforms (email service providers, ad platforms, etc.).
Governance & Compliance: Ensuring data practices align with regulations like POPIA or GDPR.
Key Skills:
Experience with specific platforms (e.g., SAP CDP, Salesforce CDP, Segment, Tealium).
Understanding of APIs, data modeling, and SQL.
Background in marketing automation or digital transformation.
Ideal Background: Bachelor’s degree in Computer Science, Data Science, or Marketing with 3+ years of experience in MarTech or data engineering.1. Customer Data Platform (CDP) Specialist
In the technology and marketing sectors, a CDP Specialist is a data-driven professional who manages the software used to unify customer data from various touchpoints into a single, comprehensive "golden record."
Core Responsibilities:
Data Integration: Managing the flow of data from sources like CRM, websites, apps, and billing systems into the CDP.
Identity Resolution: Implementing matching rules (deterministic/probabilistic) to deduplicate customer profiles.
Segmentation: Building audience segments for marketing campaigns and personalization.
Activation: Orchestrating data to downstream platforms (email service providers, ad platforms, etc.).
Governance & Compliance: Ensuring data practices align with regulations like POPIA or GDPR.
Key Skills:
Experience with specific platforms (e.g., SAP CDP, Salesforce CDP, Segment, Tealium).
Understanding of APIs, data modeling, and SQL.
Background in marketing automation or digital transformation.
Ideal Background: Bachelor’s degree in Computer Science, Data Science, or Marketing with 3+ years of experience in MarTech or data engineering.
