• Lead database strategy, modernization, and architectural redesign efforts. • Guide teams in decomposing monolithic databases into modular, domain-aligned schemas. • Collaborate with application, QA, cloud, and O&M teams to support integrated modernization. • Define and enforce data governance, security, and performance optimization standards. • Support cloud migration initiatives (AWS preferred) and database re-platforming. • Conduct data modeling, schema design, tuning, and lifecycle management. • Provide technical leadership for federal compliance requirements, security controls, and audits.

• Lead end-to-end O&M and modernization efforts across enterprise federal systems. • Oversee operational processes, SLAs, incident management, and continuous improvement. • Plan and manage DM&E activities, ensuring smooth deployment of enhancements and modernization increments. • Collaborate with development, QA, DevOps, database, and cloud teams. • Establish performance monitoring, risk management, and operational governance. • Ensure adherence to federal security and compliance standards. • Support program leadership with reporting, technical direction, and stakeholder engagement.

• Work with external customer and internal teams to the design and development of enterprise HDD and its storage applications • Provide technical leadership and mentorship to development teams, fostering a culture of engineering excellence • Collaborate with cross-functional teams to define and implement product roadmaps and technical strategies • Develop deep understanding of Linux Kernel and modern Datacenters and Storage Systems • Establish best practices for HDD usage and define best performance tuning to meet these usage demands • Drive continuous improvement in quality • Work on the evaluation and adoption of new technologies and frameworks to enhance our development capabilities

• Architect and implement scalable applications that ingest and clean data from APIs of digital marketing platforms. • Design and build systems for labeling, categorizing, and cleaning data, enabling it to power performance dashboards and AI models. • Lead the development of predictive models for media spend forecasting as part of an MVP, with plans to expand into other AI-based modules. • Collaborate with data science teams to develop GPT-powered models for digital marketing performance enhancement. • Develop AI-driven tools that are aimed to drive efficiency or performance • Create powerful pipelines to help create dashboards to present key insights from processed data. • Own the end-to-end solution design, ensuring robustness, scalability, and alignment with business goals.