We are looking for a highly experienced and skilled Data Architect to join our team. The ideal candidate will have 12-15 years of experience in architecting solutions of data engineering, focusing on ELT and PySpark/Hadoop workloads. In addition to strong solution and delivery skills, the ideal candidate will also have a view on business growth and managing stakeholders. Responsibilities: Design and implement high-performance, scalable, and secure data architectures. Work with business stakeholders to understand their data needs and translate them into technical requirements. Design and develop data pipelines and workflows using ELT principles and PySpark/Hadoop Optimize data pipelines and workflows for performance and efficiency Work with data scientists and engineers to ensure that data is accessible and usable for analytics and machine learning Implement data governance and security best practices Manage and mentor data engineers Contribute to the overall data engineering strategy and roadmap Requirements Qualifications: 12-15 years of experience in data engineering, with a focus on ELT and PySpark/Hadoop workloads Strong experience in designing and implementing high-performance, scalable, and secure data architectures. Experience with data governance and security best practices Experience in managing and mentoring data engineers Excellent communication and interpersonal skills Ability to work independently and as part of a team Strong problem-solving and analytical skills Desired Skills: Experience with cloud computing platforms such as AWS, Azure, or GCP Experience with big data technologies such as Spark, Hadoop, Hive, and Kafka Experience with data warehousing and data lakes Experience with DevOps and MLOps practices Experience with data science and machine learning, streaming data processing Experience with real-time analytics, data visualization and reporting tools