Marketing Technology Data Modeler

Position: Marketing Technology Data Modeler

Location: Atlanta GA

Long Term Contract

Experience Level: Senior

We are unable to provide sponsorship for this role.

Role Summary

The Marketing Technology Data Modeler is responsible for designing implementing and optimizing data models that power marketing analytics customer insights and personalized engagement strategies. This role bridges marketing data engineering and analytics teams to ensure scalable high-quality data structures across MarTech platforms such as CDPs CRM systems and marketing automation tools.

Key Responsibilities

Data Modeling & Architecture

• Design conceptual logical and physical data models for marketing platforms and customer data systems (e.g. CDP CRM campaign tools)
• Build and maintain data schemas supporting customer 360 segmentation attribution and personalization
• Develop scalable models for structured and semi-structured data (behavioral transactional demographic)

MarTech Integration

• Collaborate with engineering teams to integrate data across systems such as Snowflake (Enterprise Data Platform) Adobe Experience Cloud Integrating Channels etc.
• Define data flows and mapping between source systems CDPs and downstream Marketing activation and enablement apps
• Ensure interoperability between marketing platforms and enterprise data ecosystems

Data Governance & Quality

• Establish data standards naming conventions and metadata management practices
• Ensure data consistency accuracy and compliance (GDPR CCPA where applicable)
• Partner with data governance teams to maintain data lineage and documentation

Analytics Enablement

• Enable advanced analytics use cases such as customer segmentation campaign performance attribution modeling and predictive modeling
• Support BI/reporting teams with optimized datasets and semantic layers
• Collaborate with data scientists on feature engineering and model readiness

Stakeholder Collaboration

• Work closely with marketing product analytics and engineering stakeholders to translate business requirements into data models
• Communicate technical concepts clearly to non-technical stakeholders
• Support agile delivery and continuous improvement efforts

Required Qualifications

• Bachelors or Masters degree in Computer Science Data Engineering Information Systems or related field
• 6 years of experience in data modeling data architecture or analytics engineering
• Strong expertise in:
  • Data modeling techniques (dimensional modeling star/snowflake schemas Data Vault)
  • SQL and database technologies (e.g. Snowflake Redshift Databricks BigQuerry)
• Hands-on experience with MarTech platforms (Adobe Salesforce Segment etc.)
• Experience working with large-scale datasets and cloud-based data platforms
• Understanding of marketing data concepts (customer journeys attribution segmentation)

Preferred Qualifications

• Experience with Customer Data Platforms (CDPs)
• Knowledge of real-time data processing (Kafka streaming pipelines)
• Familiarity with data transformation tools (Talend Matillion Snow SQL dbt Airflow)
• Exposure to privacy and consent management frameworks
• Experience with APIs and data integration patterns
• Certification in cloud platforms (AWS Azure or GCP)

Key Skills

• Data modeling & database design
• Marketing analytics understanding
• Data integration and ETL/ELT
• Problem-solving and critical thinking
• Communication and stakeholder management