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# IT - Technology Architect | Data Management - Data Integration | Talend

- **Company:** Cloudspace LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $122,600.0 - $204,400.0
- **Contract:** Permanent contract
- **Skills:** Adobe Marketing Cloud, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Databases, Customer Data Management, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Vault Modeling, Dimensional Modeling, Marketing Information Systems, Meta-Data Management, Salesforce.Com, SQL Databases, Data Streaming, Systems Integration, Talend, Enterprise Data Management, Feature Engineering, Snowflake, Adobe, Semi-structured Data, Star Schema, Apache Kafka, Data Management, Physical Data Models, Stream Processing, Amazon Redshift, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us81c73d35648c874ee5baa5be37f094f6

## About the Role

Marketing activation and enablement appsEnsure interoperability between marketing platforms and enterprise data ecosystemsData Governance & QualityEstablish 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 EnablementEnable 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 CollaborationWork 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 Qualifications6+ 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, BigQuerry)Hands-on experience with MarTech platforms (Adobe, Salesforce, Segment, etc.)Experience working with large-scale datasets and cloud-based data platformsUnderstanding 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 SkillsData modeling & database designMarketing analytics understandingData integration and ETL/ELTProblem-solving and critical
thinkingCommunication and stakeholder managementMinimum years of experience>10 yearsCertifications Needed :NoTop 3 responsibilities you would expect the Subcon to shoulder and executeData ModelingETL using SnowflakeAbility to communicate effectively with the clients and must drive the project from Onshore and meet the deadlines efficientlyInterview Process (Is face to face required?)YesAny additional information you would like to share about the project specs/ nature of work
Project Code: Child code for Marketing Mysore with NSO

## Description

Job Title: Senior Data ModelerWork Location: AtlantaGA30339Vendor Rate: 74.10Contract duration: 6Target Start Date: 07 Jul 2026Does this position require Visa independent candidates only? YES**hybrid work et up**Job Details:Must Have SkillsData ModelingETL using SnowflakeTalendNice to have skillsData ModelingETL using SnowflakeDetailed Job DescriptionKey ResponsibilitiesData Modeling & ArchitectureDesign 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 IntegrationCollaborate 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


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