PrincipalArchitect(DataArchitecture)

## Accountabilities Lead the design and implementation of enterprise data architectures that support analytics, reporting, and operational data needs. Collaborate with internal teams and client stakeholders to define project scope, gather requirements, and establish technical objectives. Translate business requirements into scalable data models, integration strategies, and architecture specifications. Recommend and guide the selection of appropriate data platforms, repositories, databases, and cloud services. Create and maintain data mappings, architecture diagrams, process flows, and technical documentation for development and testing teams. Support the deployment, optimization, and troubleshooting of data pipelines across diverse environments, including cloud, hybrid, and legacy infrastructures. Provide technical leadership during agile delivery cycles and contribute to architectural governance, best practices, and solution reviews. Present technical recommendations to both technical and non-technical audiences, ensuring alignment between business goals and technical solutions. Review existing systems and architectures, identifying opportunities for modernization, performance improvements, and scalability enhancements. Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. 5+ years of experience designing and implementing data architectures, data pipelines, and enterprise data platforms. Strong expertise in data modeling, data mapping, data warehousing, and business intelligence architectures. Advanced SQL skills and extensive experience working with relational and non-relational database technologies, including Oracle, Microsoft SQL Server, PostgreSQL, MongoDB, DynamoDB, Redis, and similar platforms. Experience with ETL and data integration technologies such as AWS Glue, Azure Data Factory, Apache NiFi, or comparable solutions. Knowledge of architectural patterns including