<p> <strong>Overview</strong></p><p>The purpose of this job is to lead end-to-end system architecture in a hands-on capacity, guiding solution design, reviewing code, and supporting implementation. It establishes technical direction, ensures scalability, security, and performance, and provides architectural guidance and mentorship to deliver robust, reliable software.</p><p> </p><p><strong>Responsibilities:</strong></p><p> </p><p><strong>The following duties are normal for this job. These are not to be construed as exclusive or all-inclusive. Other duties may be required and assigned.</strong></p><p><strong> </strong></p><ul><li>Define and lead system architecture for scalable, secure applications.</li><li>Drive technical excellence by advising teams and performing code/design evaluations.</li><li>Architect and develop solutions using <strong>.NET Core,Entity Framework Core</strong>.</li><li>Oversee CI/CD pipelines and DevOps practices with <strong>Azure DevOps</strong>.</li><li>Collaborate with stakeholders to align technology with business goals.</li><li>Support the COAM division and serve as the technical lead for software developers.</li></ul><p><strong>*Please note: </strong>This is a hybrid position in Atlanta, GA. Please do not apply to this posting if you're not already local to Metro ATL and willing to work onsite 4 days/week</p>
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>