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Moderate competition due to common mid-level data engineering demand but CDP specialization narrows applicant pool.
High because CDP, identity resolution, and marketing activation expertise are domain-specific and less transferable.
High due to explicit 4–8 years plus mandatory CDP, cloud, streaming, SQL, and programming skill requirements.
Design, develop, and maintain scalable batch and real-time data pipelines ingesting customer data into the Customer Data Platform (CDP) from diverse sources.
Implement customer data transformations, identity resolution, unified customer profiles, and audience activation integrations across marketing and engagement platforms.
Ensure data quality, pipeline reliability, performance optimization, and compliance with data governance, privacy, and security standards.
4–8 years of overall data engineering experience, including hands-on CDP implementation or support.
Strong experience in data engineering with ETL/ELT development and batch/streaming data pipelines.
Proficient with SQL, programming languages (Python, Java, Scala), streaming tech (Kafka, Kinesis, Pub/Sub), REST APIs, and cloud platforms (AWS, Azure, GCP).
Bachelor's degree in Computer Science, IT, Engineering, Data Engineering, or related field.
Experienced with Customer Data Platforms such as Adobe Experience Platform (AEP) or Salesforce Data Cloud and familiar with marketing, CRM, analytics integrations.
Demonstrates deep understanding of customer data models, identity management, customer 360 profiles, consent & preference management, and data governance.
Ability to translate complex customer data requirements into technical solutions and work cross-functionally with marketing, analytics, CRM, and technology stakeholders.