Engineer Database Architect Lead SKMS

Accountabilities:: Lead enterprise database architecture and design activities, establishing scalable and maintainable data solutions for web-based applications. Develop conceptual, logical, and physical data models, including entity relationship diagrams (ERDs), aligned with application and business requirements. Design and implement relational and non-relational database architectures based on workload, performance, scalability, and integration needs. Develop and maintain database objects, including tables, views, stored procedures, functions, indexes, and other database components. Design and support data integration processes that enable reliable movement and transformation of data across application environments. Collaborate closely with software engineers to support APIs, services, application workflows, and front-end web application functionality. Improve application performance through effective database architecture, query optimization, indexing strategies, and performance tuning. Implement and oversee database security controls, auditing, encryption, and role-based access controls. Establish and apply data architecture, data modeling, governance, and database engineering methodologies. Provide technical leadership and architecture oversight while mentoring engineers and supporting sound technical decision-making. Contribute to Agile software development processes and ensure database architecture aligns with evolving application requirements. Requirements: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related discipline; additional relevant experience may substitute where permitted. 10+ years of experience in database architecture, data engineering, software development, or closely related fields. At least 5 years of experience leading enterprise data modeling and database design initiatives. Strong expertise in enterprise database architecture, relational and non-relational database technologies, and data modeling methodologies. Advanced SQL skills, including database development, query optimization, indexing, stored procedures, and performance tuning. Experience designing data integration solutions and supporting APIs, services, and application integration patterns. Strong understanding of database security practices, including auditing, encryption, access controls, and role-based security. Ability to translate application and business requirements into scalable, reliable, and maintainable data architectures. Strong technical leadership, architecture oversight, mentoring, and cross-functional collaboration skills. Experience working within Agile software development methodologies. Excellent analytical, problem-solving, communication, and documentation skills. Benefits: Competitive compensation based on qualifications and experience. Benefits package available to eligible employees. Opportunities to work on enterprise-scale data architecture and modern web application environments. Technical leadership and professional development opportunities. Collaborative environment focused on engineering excellence and continuous improvement.