{"schemaVersion":"jobsearcher.job.v1","id":"86be9b35cb901699279bf750","url":"https://jobsearcher.com/jobs/86be9b35cb901699279bf750","canonicalUrl":"https://jobsearcher.com/jobs/86be9b35cb901699279bf750","title":"Database Architect/Data Modeler","description":"Database Architect/Data ModelerWe are seeking an experienced Database Architect / Data Modeler to design, implement, and maintain scalable and efficient database systems while creating robust data models that align with organizational needs. The ideal candidate will have a deep understanding of database technologies, data architecture, data modeling principles, data security and business requirements, particularly in SQL-based database systems and .NET application modernization initiatives, ensuring data is stored, structured, and accessed optimally.\r\nKey Responsibilities:Design and implement robust and scalable database systems to support application and business needs.\r\nEstablish standards for database design, access, and maintenance.\r\nDefine and implement data security protocols, backup strategies, and disaster recovery plans.\r\nEvaluate and implement database technologies for structured and unstructured data (e.g., SQL, NoSQL, Azure Datastore).\r\nDefine and optimize database schemas, indexes, and partitioning strategies.\r\nOptimize database performance, scalability, and reliability.\r\nData Architecture:Define the overall structure for how data is collected, stored, and accessed as per enterprise-wide data strategies and governance policies.\r\nDevelop data integration workflows and pipelines.\r\nEnsure compliance with data privacy (PII) and security regulations (e.g., GDPR, CCPA).\r\nEstablish data quality standards and validation processes.\r\nData Modeling:Create conceptual, logical, and physical data models to meet business and technical requirements.\r\nConduct detailed Fit-Gap analysis on data models to identify discrepancies between current and target states\r\nOptimize existing data models to enhance performance and scalability within SQL databases.\r\nDesign and maintain entity-relationship (ER) diagrams, metadata repositories, data dictionaries and definitions.\r\nDefine data relationships, primary/foreign keys, and constraints to ensure integrity.\r\nCollaborate with stakeholders to align data models with reporting and analytical needs.\r\nAzure Data Ecosystem:Design the architecture focused on modernizing legacy .NET systems and leveraging Azure services (e.g., Azure SQL, Azure Cosmos DB, ADLS, and Azure functions etc.).\r\nDesign and deploy solutions in cloud-based environments using best practices.\r\nMonitor and troubleshoot Azure data workflows to ensure reliability and efficiency.\r\nMust Have Qualifications:Minimum 10 years of experience with 5+ years of experience in database design, data architecture, and data modeling.\r\nHands-on experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).\r\nProficiency with data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner, Visio).\r\nStrong knowledge of SQL, database design principles, and optimization techniques including performance tuning.\r\nExpertise in data integration tools (e.g., Talend, Apache Kafka, Informatica).\r\nHands-on experience with Azure SQL, Data Factory, Synapse, and related services.\r\nPrior experience in Agile/Scrum development methodologies is mandatory - sprint planning, stand-ups, and retrospectives.\r\nFamiliar with Azure DepOps and other Azure services.\r\nProficiency in creating and presenting documentation, diagrams, and reports.\r\nNice to Have:Familiarity with big data and data warehouse technologies (e.g., Hadoop, Spark, Redshift, BigQuery) and ETL processes.\r\nFamiliarity with cloud data platforms (e.g., Snowflake, AWS Redshift, Azure SQL).\r\nKnowledge of data governance frameworks and regulatory compliance.\r\nProficiency in scripting languages (e.g., Python, Shell) for automation and ETL processes","company":"Software Technology","rawCompany":"software technology","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:25:07.021Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database Architect/Data Modeler","description":"Database Architect/Data ModelerWe are seeking an experienced Database Architect / Data Modeler to design, implement, and maintain scalable and efficient database systems while creating robust data models that align with organizational needs. The ideal candidate will have a deep understanding of database technologies, data architecture, data modeling principles, data security and business requirements, particularly in SQL-based database systems and .NET application modernization initiatives, ensuring data is stored, structured, and accessed optimally.\r\nKey Responsibilities:Design and implement robust and scalable database systems to support application and business needs.\r\nEstablish standards for database design, access, and maintenance.\r\nDefine and implement data security protocols, backup strategies, and disaster recovery plans.\r\nEvaluate and implement database technologies for structured and unstructured data (e.g., SQL, NoSQL, Azure Datastore).\r\nDefine and optimize database schemas, indexes, and partitioning strategies.\r\nOptimize database performance, scalability, and reliability.\r\nData Architecture:Define the overall structure for how data is collected, stored, and accessed as per enterprise-wide data strategies and governance policies.\r\nDevelop data integration workflows and pipelines.\r\nEnsure compliance with data privacy (PII) and security regulations (e.g., GDPR, CCPA).\r\nEstablish data quality standards and validation processes.\r\nData Modeling:Create conceptual, logical, and physical data models to meet business and technical requirements.\r\nConduct detailed Fit-Gap analysis on data models to identify discrepancies between current and target states\r\nOptimize existing data models to enhance performance and scalability within SQL databases.\r\nDesign and maintain entity-relationship (ER) diagrams, metadata repositories, data dictionaries and definitions.\r\nDefine data relationships, primary/foreign keys, and constraints to ensure integrity.\r\nCollaborate with stakeholders to align data models with reporting and analytical needs.\r\nAzure Data Ecosystem:Design the architecture focused on modernizing legacy .NET systems and leveraging Azure services (e.g., Azure SQL, Azure Cosmos DB, ADLS, and Azure functions etc.).\r\nDesign and deploy solutions in cloud-based environments using best practices.\r\nMonitor and troubleshoot Azure data workflows to ensure reliability and efficiency.\r\nMust Have Qualifications:Minimum 10 years of experience with 5+ years of experience in database design, data architecture, and data modeling.\r\nHands-on experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).\r\nProficiency with data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner, Visio).\r\nStrong knowledge of SQL, database design principles, and optimization techniques including performance tuning.\r\nExpertise in data integration tools (e.g., Talend, Apache Kafka, Informatica).\r\nHands-on experience with Azure SQL, Data Factory, Synapse, and related services.\r\nPrior experience in Agile/Scrum development methodologies is mandatory - sprint planning, stand-ups, and retrospectives.\r\nFamiliar with Azure DepOps and other Azure services.\r\nProficiency in creating and presenting documentation, diagrams, and reports.\r\nNice to Have:Familiarity with big data and data warehouse technologies (e.g., Hadoop, Spark, Redshift, BigQuery) and ETL processes.\r\nFamiliarity with cloud data platforms (e.g., Snowflake, AWS Redshift, Azure SQL).\r\nKnowledge of data governance frameworks and regulatory compliance.\r\nProficiency in scripting languages (e.g., Python, Shell) for automation and ETL processes","datePosted":"2026-08-09T01:25:07.021Z","dateModified":"2026-08-09T01:25:07.021Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"86be9b35cb901699279bf750"},"url":"https://jobsearcher.com/jobs/86be9b35cb901699279bf750"}}