CDP System Developer (Customer Data Platform)

The Opportunity:

Implements tactical and operational data engineering goals, contributing to the design, development, and optimization of data pipelines, ETL processes, and enterprise-wide data accessibility. Enhances data infrastructure, standards, and workflows, supporting analytics, regulatory compliance, and supply chain efficiency. Manages data engineering projects and operational processes, overseeing integration, migration, and performance improvements. Works on problems with a diverse scope, requiring evaluation of structured and unstructured data, storage methodologies, and security considerations. Develops solutions based on limited historical data, evolving technologies, and business needs. Collaborates with cross-functional teams, including business analytics, data management, IT, and cloud architecture, to align data strategies with organizational goals. Engages external stakeholders such as vendors, cloud providers, and compliance entities to ensure seamless data operations and scalability.

The Customer Data Platform (CDP) Developer is responsible for designing, developing, implementing, and maintaining customer data solutions that enable a unified customer view across digital and offline channels. This role works closely with Marketing, Analytics, IT, Data Engineering, and Business stakeholders to integrate customer data sources, build audience segmentation, support activation use cases, and ensure data quality, governance, and compliance.

The ideal candidate has experience with customer data platforms, data integration technologies,

identity resolution, marketing technologies, and cloud-based data architectures.

What we’re looking for

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Information Systems, Data Analytics,
• Marketing Technology, or related field.
• Experience: 3+ years of experience in customer data management, marketing technology,
• data engineering, or CDP development.
• Experience with one or more CDP platforms such as Salesforce Data Cloud, Adobe Experience Platform, Tealium, Segment, mParticle, Treasure Data, or similar.
• Strong SQL skills and experience with data modeling.
• Experience with APIs, ETL/ELT processes, and data integration technologies.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of customer identity resolution and master data management concepts.
• Familiarity with data privacy and compliance requirements.

Preferred Qualifications

• Experience with marketing automation platforms (Salesforce Marketing Cloud, Adobe Campaign, Marketo, HubSpot, etc.).
• Experience with data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
• Knowledge of Python, JavaScript, or other scripting languages.
• Experience with customer journey orchestration and personalization tools.
• CDP, cloud, or data platform certifications.

Knowledge, Skills, and Abilities

• Customer data architecture
• Data integration and transformation
• Audience segmentation
• Identity resolution
• Marketing technology ecosystem
• Data governance and compliance
• Problem-solving and analytical thinking
• Stakeholder communication and collaboration

Success Metrics

• Accuracy and completeness of unified customer profiles
• Data ingestion and processing reliability
• Audience activation effectiveness
• Data quality improvement metrics
• Platform performance and uptime
• Compliance with privacy and governance standards
• Stakeholder satisfaction and adoption

How you will thrive and create an impact

• CDP Development & Administration
  • Design, configure, and maintain Customer Data Platform environments.
  • Develop and manage customer data models, schemas, and profile structures.
  • Configure identity resolution and customer profile unification processes.
  • Build and maintain audience segments, calculated insights, and activation workflows.
  • Support real-time and batch data ingestion processes.
• Data Integration
  • Develop and maintain integrations between the CDP and source systems, including:
    • CRM platforms
    • Marketing automation platforms
    • Web and mobile applications
    • ERP systems
    • Data warehouses and data lakes
    • Third-party data providers
  • Create and optimize ETL/ELT processes for customer data ingestion and transformation.
  • Implement APIs, connectors, and event-streaming solutions.

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