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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeler - **Company:** Synechron Inc - **Location:** Charlotte, NC, United States - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Cloud Database, Information Systems, Databases, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Mart, Data Migration, Data Structures, Data Warehousing, Relational Databases, Database Design, Database Queries, Database Storage Structures, Software Design Patterns, Dimensional Modeling, Distributed Systems, Amazon DynamoDB, IBM InfoSphere (ETL Tools), PostgreSQL, Meta-Data Management, Metadata Repositories, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Operational Data Store, Oracle (Applications), Performance Tuning, PowerDesigner, Query Optimization, Reference Data, Lucidchart, SAP (Applications), Teradata SQL, Enterprise Data Management, Enterprise Software Applications, Data Ingestion, Indexer, Event Driven Architecture, Data Lakes, Information Technology, Data Lineage, Collibra, Cassandra, Cosmos DB, Data Management, Physical Data Models, Data Pipelines, Microservices - **Published:** October 19, 2026 - **Apply:** https://www.juju.com/job/2_166234496 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * Experience in data modeling, database design, data architecture, or a related discipline. * Strong experience developing conceptual, logical, and physical data models. * Hands-on experience with relational database management systems such as Oracle, SQL Server, PostgreSQL, MySQL, Teradata or similar platforms * Strong SQL skills and understanding of database structures and query optimization. * Experience with dimensional modeling and data warehousing concepts. * Proficiency with one or more data modeling tools, such as Erwin Data Modeler, ER/Studio, SAP PowerDesigner, IBM InfoSphere Data Architect, Lucidchart or similar tools * Experience with data integration, ETL/ELT processes, and source-to-target mapping. * Understanding of data governance, metadata management, data quality, and data lineage. * Strong knowledge of normalization, denormalization, indexing, partitioning, and performance considerations. * Ability to interpret complex business requirements and convert them into scalable data solutions. * Excellent communication, documentation, analytical, and problem-solving skills. Preferred, but not required: * Experience with data lake, lakehouse, and modern analytics architectures. * Familiarity with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or Cosmos DB. * Knowledge of master data management and reference data management. * Experience with data catalog and governance tools such as Collibra, Alation, Informatica, or Microsoft Purview. * Understanding of distributed systems, microservices, APIs, and event-driven architectures. ## Description We are seeking an experienced Data Modeler to design, develop, and maintain scalable data models that support business intelligence, analytics, reporting, and operational data needs. The ideal candidate will have data modeling, database design, data architecture, and working with cross-functional technology and business teams. The successful candidate will translate business requirements into robust conceptual, logical, and physical data models while ensuring data quality, consistency, security, scalability, and performance across enterprise data platforms., * Design and maintain conceptual, logical, and physical data models for enterprise applications, data warehouses, data lakes, and data marts. * Analyze business and technical requirements and translate them into effective data structures and models. * Define entities, attributes, relationships, keys, constraints, business rules, and data definitions. * Develop dimensional models, including star and snowflake schemas, fact tables, dimension tables, and slowly changing dimensions. * Support relational, dimensional, NoSQL, and cloud-based data modeling initiatives. * Collaborate with data architects, engineers, analysts, application teams, product owners, and business stakeholders. * Establish and maintain data modeling standards, naming conventions, design patterns, and best practices. * Ensure data models support scalability, performance, data integration, reporting, analytics, and regulatory requirements. * Review and optimize existing data models for performance, maintainability, and extensibility. * Create and maintain data dictionaries, metadata repositories, source-to-target mappings, and model documentation. * Participate in data governance activities, including data quality, lineage, ownership, classification, and stewardship. * Work closely with ETL/ELT developers to support data ingestion, transformation, and integration processes. * Identify data redundancies, inconsistencies, and gaps and recommend appropriate solutions. * Assist with database design, indexing, partitioning, normalization, denormalization, and performance optimization. * Support data migration, modernization, and integration projects. * Review proposed database and application changes for alignment with enterprise data architecture. * Present data model designs and recommendations to technical and non-technical stakeholders. * Mentor junior data modelers and contribute to the continuous improvement of modeling practices.