Lead and mentor a team of back\-end developers, providing technical guidance and support. Design end\-to\-end solution architecture for ingestion, data unification, identity resolution, segmentation, and activation. Lead technical discovery sessions to identify data sources, integration patterns, and downstream activation needs. Oversee development across data pipelines, APIs, connectors, transformations, and orchestration components. Oversee the development of server\-side logic, definition and maintenance of databases, and ensure high performance and responsiveness to requests from the front\-end. Define and document the enterprise 360 data model, mapping logic, metadata standards, and governance framework. Design and implement robust back\-end architectures that support the scalability and performance requirements of web applications. Collaborate with CRM, marketing, analytics, and data engineering teams to ensure unified data design supports all use cases. Conduct code reviews, solution reviews, and technical validations to maintain architecture quality. Troubleshoot and debug applications, optimizing code for performance and scalability. Keep abreast of emerging back\-end technologies and frameworks and assess their value for current and future projects. Ensure compliance with data governance, privacy regulations, and security policies. Contribute to the development of technical documentation, including system architecture and design specifications. Work closely with DevOps teams to streamline deployment and operation processes. Act as a technical point of contact for back\-end development issues and queries.
