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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Solution Architect - **Company:** Computer Task Group, Inc - **Location:** Wilmington, DE, United States (Remote available) - **Experience:** Experienced - **Salary:** $89,565.0 - $149,261.0 - **Contract:** Temporary to permanent - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Microsoft Azure, Software as a Service, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Disaster Recovery, Distributed Data Store, Enterprise Architecture Framework, Payment Systems, Information Lifecycle Management, Machine Learning, Metadata, Meta-Data Management, Systems Development Life Cycle, Power BI, Azure Machine Learning, Azure Data Lake, Data Streaming, Enterprise Data Management, Cloud Platform System, Snowflake, Containerization, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Data Management, Api Design, Stream Analytics, Data Pipelines, Legacy Systems, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.careerjet.com/job/us20af398bf2eba32c67898d2189ff2b0b/eaa ## About the Role Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. 5+ years of experience in solution architecture or technical implementation, including 2+ years focused on data engineering or enterprise data platforms. Strong experience designing data platforms, data pipelines, ETL/ELT processes, data integration, and distributed data solutions. Hands-on experience with Azure, AWS, or GCP and cloud-native technologies, including containerization and Kubernetes. Experience with data lakes, data warehouses, lakehouses, data modeling, metadata management, and data quality. Experience with API design, integration technologies, CI/CD, DevOps, and infrastructure-as-code. Strong understanding of data security, encryption, access controls, privacy, and regulatory requirements such as GDPR and CCPA. Demonstrated ability to design and implement scalable, integrated solutions across multiple technology domains. Excellent communication, collaboration, analytical, and problem-solving skills. Education and Experience Preferred: AWS or Azure Solutions Architect, Certified Data Engineer, or similar certification. Experience with Databricks, Kafka, Snowflake, Power BI, Azure Data Lake, or comparable technologies. Experience supporting financial systems, payment networks, liquidity management, settlement processes, payment gateways, digital wallets, or related financial technology. Experience with real-time analytics, data mesh, AI/ML platforms, and modern data architecture patterns. Experience with financial regulations, compliance frameworks, security standards, and risk management. Familiarity with Jira, SDLC processes, Agile methodologies, and enterprise architecture frameworks. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. ## Description Design and deliver enterprise-grade, cloud-based data platforms and scalable data pipelines using technologies such as Azure Data Lake, Databricks, Kafka, Snowflake, and Power BI. Architect ETL/ELT frameworks to ingest, transform, and integrate data from legacy financial systems, SaaS platforms, and real-time data sources. Design and oversee data warehouses, lakehouses, and analytics environments supporting business intelligence, machine learning, and reporting. Establish data governance, metadata management, data quality, security, and data lifecycle standards in alignment with Enterprise Architecture and regulatory requirements. Partner with Enterprise Architecture, engineering, product, compliance, and other stakeholders to ensure solutions align with architectural standards, reference architectures, and technology roadmaps. Evaluate emerging data technologies and lead proof-of-concept initiatives involving real-time analytics, data mesh, and AI/ML platforms. Develop architecture diagrams, data flow maps, security models, technical specifications, operational runbooks, and other solution documentation. Guide Agile/DevOps teams in implementing CI/CD, automated testing, infrastructure-as-code, and data solution deployment practices. Scope of Responsibilities: Provide end-to-end architecture for enterprise data platforms, including technology selection, integration patterns, scalability, security, and implementation planning. Develop ETL/ELT designs and modernization strategies for new data sources and legacy systems. Define data governance frameworks addressing quality, lineage, metadata, and access controls. Assess solution performance, scalability, risks, security requirements, and disaster recovery considerations. Support prototypes and proof-of-concept implementations for emerging data engineering capabilities. Ensure solutions are secure, scalable, interoperable, regulatory-compliant, and aligned with Enterprise Architecture standards. Supervisory/Managerial Responsibilities: Provide technical leadership and direction to cross-functional Agile/DevOps teams. Collaborate effectively with technical and non-technical stakeholders across engineering, product, compliance, and architecture functions. 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