<p>We are seeking an Enterprise Architect – AI/Data to design and implement enterprise-level AI and data architectures that align with business objectives and enhance operational capabilities. This role requires deep expertise in AI/ML technologies, big data platforms, and enterprise architecture frameworks.</p><p>Key Responsibilities:</p><ul><li>Design and develop end-to-end AI and data architectures ensuring scalability, security, and performance</li><li>Create architectural blueprints and roadmaps for AI and data integration across the organization</li><li>Lead the development of data platforms and AI-driven systems for advanced analytics and automation</li><li>Define AI strategy and oversee its implementation across business units</li><li>Deploy and integrate AI models and tools into production systems</li><li>Design scalable cloud and on-premises data architectures using Azure, AWS, or Google Cloud</li><li>Work with big data technologies (Hadoop, Spark) and data lake architectures</li><li>Manage integration of AI models into big data platforms for structured and unstructured data</li><li>Collaborate with business and technical teams to translate needs into AI/data solutions</li><li>Stay current with AI, ML, and data technology advancements and best practices</li><li>Assess and mitigate risks related to AI and data architectures, ensuring compliance and security</li></ul><p><br></p>
<p>We are seeking a customer experience-focused Data Modeler & Architect to bridge the gap between business needs and cutting-edge data solutions—translating challenges into powerful insights that drive innovation, efficiency, and strategic growth. In this role, you will work directly with stakeholders to translate business needs into data models, ensuring data accuracy and efficiency for analysis and reporting. You will support a multi-functional team in creating, validating, and delivering reports, data extracts, dashboards, and other data products.</p><p>Our ideal candidate is mission-focused and delivery-oriented, applying critical thinking to create innovative functions and solve technical issues.</p><p>With this role, you will:</p><ul><li>Work with business users to understand data needs, processes, and challenges.</li><li>Collaborate with analysts, system owners, and stakeholders to gather requirements.</li><li>Create and maintain conceptual, logical, and physical data models.</li><li>Develop source-target mappings, recommend data standards, and identify data quality issues.</li><li>Communicate with stakeholders to ensure understanding and support for models.</li><li>Optimize models for Azure cloud data architectures (e.g., Synapse Analytics, Azure SQL MI, NoSQL, Power BI).</li><li>Support migration from legacy Enterprise Data Warehouse to Azure Data Lake Platform.</li><li>Enhance data models for performance, quality, and scalability.</li><li>Collaborate with governance teams to implement data standards.</li><li>Advise DevOps teams on implementation.</li><li>Provide hands-on support for reporting and data delivery.</li><li>Ensure compliance with governance frameworks and security best practices.</li><li>Document data models and related processes.</li><li>Enforce modeling standards and best practices.</li><li>Troubleshoot data-related issues and provide technical support.</li></ul>
<p>We are looking for a skilled Database Administrator to join our team in Maryland. In this role, you will be responsible for ensuring the integrity, security, and optimization of our database systems while supporting key operational and corporate functions. This position offers an exciting opportunity to collaborate across departments and contribute to data-driven solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and maintain databases to support operational, billing, and corporate systems.</p><p>• Optimize and manage data warehouses, including indexing and metadata configuration.</p><p>• Integrate financial data with operational systems and oversee system upgrades and enhancements.</p><p>• Administer Power BI environments, ensuring access control, dashboard performance, and user training.</p><p>• Develop and enforce backup strategies and disaster recovery plans to safeguard data.</p><p>• Monitor database performance, identify bottlenecks, and enhance system efficiency through query and index optimization.</p><p>• Collaborate with finance, operations, and data teams to deliver cohesive database solutions.</p><p>• Create and maintain technical documentation to support ongoing knowledge sharing and system improvements.</p><p>• Ensure data integrity, availability, and security across platforms through proactive monitoring and management.</p><p>• Identify opportunities for automation and system optimization to streamline processes.</p>
