Information Technology_USA - USA_Developer
Real Soft, Inc.
Jacksonville, FL, USA
5/4/2026
Architect
Full time
Must Have Technical/Functional Skills
• Experienced in data modeling and transformation using SQL, Spark, and Data Flow capabilities. • Skilled in scripting and programming with Python, .NET, and PowerShell to support data pipeline automation and workflow development. • Capable of designing, developing, and consuming REST and SOAP APIs for seamless data exchange. • Hands-on experience with Azure SQL Database, Azure Data Lake, Cosmos DB, and cloud storage management. • Familiar with CI/CD and DevOps practices, including Azure DevOps pipelines and infrastructure automation using ARM templates and terraform. • Strong understanding of data security, encryption, secure transmission, and privacy compliance requirements. • Experienced in monitoring and troubleshooting data pipelines using Azure Monitor, Log Analytics, and related diagnostic tools. • Knowledgeable in integrating event-driven and messaging platforms such as Kafka, Event Grid, and Service Bus for both batch and real-time ingestion. • Adept at creating and executing unit, integration, and end-to-end test cases to validate data workflows and ensure quality. • Skilled in diagnosing and resolving access and data integration issues, with escalation to support teams when required.
• Collaborate effectively with business stakeholders to gather data integration requirements, define data movement needs, and establish transformation rules. • Able to design end-to-end integration architectures, including logical solution designs and data flow diagrams. • Experienced in preparing technical documentation, build sheets, and architectural artifacts to support onboarding and deployment activities. • Communicate effectively with business teams, IT partners, and leadership to ensure alignment with Cloud 3.0 standards and guidelines.
• Roles & Responsibilities
• Extensive experience in data integration, ETL development, and processing data within cloud environments. • Solid understanding of Cloud 3.0 architecture principles and enterprise-approved integration patterns. • Hands-on expertise with Azure Databricks, Azure Data Lake Storage (ADLS), and Unity Catalog. • Proficient in working with relational databases, particularly PostgreSQL, with additional exposure to DB2. • Skilled in SQL, including query tuning and optimizing database performance. • Knowledgeable in data profiling, source-to-target mapping, and implementing data quality processes. • Familiarity with Kubernetes and AKS for orchestrating data transformation workloads. • Proficient in CI/CD practices, version control, and automation using tools such as GitHub, Maven, Jenkins, and Docker. • Strong foundation in Master Data Management (MDM), data governance, data lineage, and data modeling. • Experienced in managing large-scale enterprise data environments and leveraging modern cloud data platforms. • Ability to assess and revise existing analytical data models, identifying reuse opportunities and implementing changes based on business and technical requirements. • Applies integration design patterns and avoids anti-patterns to deliver scalable and maintainable Cloud 3.0 data integration solutions. • Collaborates with business and technical stakeholders to define reporting and analytics requirements, and architect/build appropriate data models, ETL processes, and data applications. • Analyzes source systems and data attributes to identify authoritative data sources, enhancing trust in enterprise reporting. • Adheres to coding standards, design patterns, unit testing, TDD, and CI/CD workflows using modern tools and technologies. • Conducts data profiling, source-to-target mapping, data analysis, data quality assessment, database design, SQL tuning, query optimization, and data architecture tasks. • Supports data governance, data quality management, data modeling, and data lineage across multiple enterprise data repositories. • Demonstrates strong problem-solving skills in developing solutions for complex analytical and data-driven challenges. • Works collaboratively with cross-functional teams and stakeholders to achieve shared business objectives.
• Contributes to cloud-based data integration initiatives leveraging approved Cloud 3.0 platforms and patterns, including Azure Databricks, ADLS, Unity Catalog, and PostgreSQL as applicable. • Facilitates data ingestion, transformation, and movement across cloud platforms, following enterprise-approved integration and lakehouse patterns.
Role Descriptions: Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL
Essential Skills: Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL
Desirable Skills:
Keyword:
Skills: Cognos Data Integration
Experience Required: 8-10, Project Code :
• Experienced in data modeling and transformation using SQL, Spark, and Data Flow capabilities. • Skilled in scripting and programming with Python, .NET, and PowerShell to support data pipeline automation and workflow development. • Capable of designing, developing, and consuming REST and SOAP APIs for seamless data exchange. • Hands-on experience with Azure SQL Database, Azure Data Lake, Cosmos DB, and cloud storage management. • Familiar with CI/CD and DevOps practices, including Azure DevOps pipelines and infrastructure automation using ARM templates and terraform. • Strong understanding of data security, encryption, secure transmission, and privacy compliance requirements. • Experienced in monitoring and troubleshooting data pipelines using Azure Monitor, Log Analytics, and related diagnostic tools. • Knowledgeable in integrating event-driven and messaging platforms such as Kafka, Event Grid, and Service Bus for both batch and real-time ingestion. • Adept at creating and executing unit, integration, and end-to-end test cases to validate data workflows and ensure quality. • Skilled in diagnosing and resolving access and data integration issues, with escalation to support teams when required.
• Collaborate effectively with business stakeholders to gather data integration requirements, define data movement needs, and establish transformation rules. • Able to design end-to-end integration architectures, including logical solution designs and data flow diagrams. • Experienced in preparing technical documentation, build sheets, and architectural artifacts to support onboarding and deployment activities. • Communicate effectively with business teams, IT partners, and leadership to ensure alignment with Cloud 3.0 standards and guidelines.
• Roles & Responsibilities
• Extensive experience in data integration, ETL development, and processing data within cloud environments. • Solid understanding of Cloud 3.0 architecture principles and enterprise-approved integration patterns. • Hands-on expertise with Azure Databricks, Azure Data Lake Storage (ADLS), and Unity Catalog. • Proficient in working with relational databases, particularly PostgreSQL, with additional exposure to DB2. • Skilled in SQL, including query tuning and optimizing database performance. • Knowledgeable in data profiling, source-to-target mapping, and implementing data quality processes. • Familiarity with Kubernetes and AKS for orchestrating data transformation workloads. • Proficient in CI/CD practices, version control, and automation using tools such as GitHub, Maven, Jenkins, and Docker. • Strong foundation in Master Data Management (MDM), data governance, data lineage, and data modeling. • Experienced in managing large-scale enterprise data environments and leveraging modern cloud data platforms. • Ability to assess and revise existing analytical data models, identifying reuse opportunities and implementing changes based on business and technical requirements. • Applies integration design patterns and avoids anti-patterns to deliver scalable and maintainable Cloud 3.0 data integration solutions. • Collaborates with business and technical stakeholders to define reporting and analytics requirements, and architect/build appropriate data models, ETL processes, and data applications. • Analyzes source systems and data attributes to identify authoritative data sources, enhancing trust in enterprise reporting. • Adheres to coding standards, design patterns, unit testing, TDD, and CI/CD workflows using modern tools and technologies. • Conducts data profiling, source-to-target mapping, data analysis, data quality assessment, database design, SQL tuning, query optimization, and data architecture tasks. • Supports data governance, data quality management, data modeling, and data lineage across multiple enterprise data repositories. • Demonstrates strong problem-solving skills in developing solutions for complex analytical and data-driven challenges. • Works collaboratively with cross-functional teams and stakeholders to achieve shared business objectives.
• Contributes to cloud-based data integration initiatives leveraging approved Cloud 3.0 platforms and patterns, including Azure Databricks, ADLS, Unity Catalog, and PostgreSQL as applicable. • Facilitates data ingestion, transformation, and movement across cloud platforms, following enterprise-approved integration and lakehouse patterns.
Role Descriptions: Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL
Essential Skills: Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL
Desirable Skills:
Keyword:
Skills: Cognos Data Integration
Experience Required: 8-10, Project Code :