Solutions Engineer

• Join BeOne's Global Data Strategy and Solutions team to build and scale a cutting-edge and fully integrated Enterprise Data and Analytics Platform
• Design and implement robust data architectures using Databricks, ensuring integration with existing systems and scalability for future growth
• Establish data management frameworks, optimizing ETL/ELT processes and data models for performance and accuracy.
• Evaluate and recommend modern architectural patterns, including Lakehouse, Delta Live Tables, Data Mesh, and real-time streaming.
• Drive rapid Proof-of-Concepts (POCs) to validate new architectural approaches, tools, and design patterns before enterprise rollout.
• Partner with data engineers, scientists, and business stakeholders to develop seamless data pipelines prioritizing data integrity and usability.
• Implement and uphold data governance practices that enhance data accessibility while ensuring compliance with regulations.
• Integrate external systems, APIs, and cloud-native services to support new data products and analytics use cases.
• Prototype and test new connectors, ingestion frameworks, and integration patterns to accelerate innovation.
• Monitor data pipelines and infrastructure performance, troubleshooting issues as they arise and ensuring high availability.
• Optimize and enhance existing data systems for performance, reliability, and cost-efficiency.
• Collaborate with data analysts and data scientists to understand data requirements and implement solutions that support data-driven insights and models.
• Monitor and enhance system performance, employing tools and methodologies to optimize data processing and storage solutions.
• Optimize compute costs, job orchestration, workflow efficiency, and data storage strategies.
• Troubleshoot and resolve data-related issues to maintain optimal system functionality.
• Experiment with new Databricks features through quick hands-on evaluations.

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