NXT GIG is seeking a skilled Data Warehouse Architect to join our technology team and play a crucial role in designing and implementing our data warehouse solutions. In this position, you will be responsible for architecting, developing, and maintaining the data warehouse infrastructure that supports data analysis, reporting, and business intelligence initiatives. You will collaborate closely with data engineers, analysts, and business stakeholders to ensure that our data warehouse effectively meets the analytical needs of the organization. The ideal candidate will possess a deep understanding of data warehousing concepts, methodologies, and best practices. If you are passionate about data architecture and are eager to make a significant impact at NXT GIG, we encourage you to apply. Responsibilities Design and implement a scalable and efficient data warehouse architecture to support analytical and reporting tasks. Collaborate with cross-functional teams to gather requirements and develop data models that align with business needs. Oversee the ETL processes for data ingestion and transformation to ensure data integrity and accuracy. Implement best practices for data governance, data quality, and data security within the data warehouse environment. Monitor and optimize the performance of the data warehouse systems to ensure high availability and responsiveness. Provide guidance and support for business intelligence initiatives and reporting solutions. Stay informed about industry trends and emerging technologies in data warehousing and analytics. Requirements Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience as a Data Warehouse Architect or in a similar role focused on data warehousing solutions. Strong knowledge of data warehousing concepts, dimensional modeling, and OLAP/OLTP architectures. Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS). Proficiency in SQL and experience with relational databases such as Oracle, SQL Server, or similar. Familiarity with data visualization tools and business intelligence platforms. Excellent problem-solving skills and the ability to communicate effectively with stakeholders.