ETL Architect

As an experienced ETL Architect, you will be a valuable addition to our innovative team. Your expertise in ETL/ELT solutions and cloud integration will be instrumental in designing and implementing robust data integration architectures that facilitate high-quality data flows across the organization. If you are passionate about data and possess a strategic mindset, we are excited to have you on board. Your key responsibilities will include leading the design and development of scalable ETL/ELT architectures using tools like Informatica, Talend, and SSIS to ensure efficient data processing and integration. You will also be involved in developing and maintaining cloud-based data integration solutions on platforms such as AWS, Azure, and Google Cloud to support data ingestion, transformation, and storage. Collaboration with data analysts and business stakeholders to create data models aligned with business requirements and ensuring effective data usage will be an essential part of your role. Additionally, you will monitor and optimize the performance of ETL/ELT processes to meet data quality standards. Establishing and maintaining comprehensive documentation for ETL processes, data flows, and integration architectures while adhering to best practices in data governance will be crucial. You will work closely with data engineering, data warehousing, and operations teams to ensure seamless integration and delivery of data solutions. In terms of mentorship, providing leadership and guidance to junior team members on ETL best practices, tools, and methodologies will be expected from you. To excel in this role, you should bring proven expertise in ETL/ELT tools such as Informatica, Talend, and SSIS, along with a solid understanding of data integration methodologies. Experience with cloud integration platforms like AWS, Azure Data Factory, Google Cloud Dataflow, or similar will be beneficial. Strong knowledge of data management principles, data warehousing concepts, and scripting languages such as Python and SQL for data manipulation and automation of ETL/ELT workflows are essential. Your analytical skills and problem-solving abilities, combined with excellent communication skills for effective collaboration with technical and non-technical stakeholders, will be key to your success in this role.,