Marketing Technology Data Modeler

Job Title: Marketing Technology Data Modeler

Location: Atlanta, GA.

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