Marketing Technology Data Modeler Job Atlanta area,Georgia USA,IT/Tech

Marketing Technology Data Modeler

Location: Atlanta, GA (No Remote)
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 Mar Tech 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)

Mar Tech 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, Big Querry)
Hands-on experience with Mar Tech 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