Senior Data Modeler
Work Location: Atlanta, GA --F2F
Contract duration: 6
**hybrid work set up** Job Details:
Must Have Skills
Data Modeling
ETL using Snowflake
Talend 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
Required Qualifications
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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