Job Role : Marketing Technology Data Modeler
Location: Atlanta, GA Experience Level: Senior (8+ years)
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
- Bachelor s or Master s 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 Google Cloud Platform)
Key Skills
- Data modeling & database design
- Marketing analytics understanding
- Data integration and ETL/ELT
- Problem-solving and critical thinking
- Communication and stakeholder management
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