Data Modeler

Marketing Technology Data ModelerThe 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 ResponsibilitiesData 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 personalizationDevelop 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 appsEnsure interoperability between marketing platforms and enterprise data ecosystemsData Governance & Quality Establish data standards, naming conventions, and metadata management practicesEnsure data consistency, accuracy, and compliance (GDPR, CCPA where applicable)Partner with data governance teams to maintain data lineage and documentationAnalytics Enablement Enable advanced analytics use cases such as customer segmentation, campaign performance, attribution modeling, and predictive modelingSupport BI/reporting teams with optimized datasets and semantic layersCollaborate with data scientists on feature engineering and model readinessStakeholder Collaboration Work closely with marketing, product, analytics, and engineering stakeholders to translate business requirements into data modelsCommunicate technical concepts clearly to non-technical stakeholdersSupport agile delivery and continuous improvement effortsRequired QualificationsBachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field6+ years of experience in data modeling, data architecture, or analytics engineeringStrong expertise in: Data modeling techniques (dimensional modeling, star/snowflake schemas, Data Vault) SQL and database technologies (e.g., Snowflake, Redshift, Databricks, BigQuery) 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 QualificationsExperience 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 frameworksExperience with APIs and data integration patternsCertification 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