Senior Aws Data Solutions Engineer

Summary

Join Datacor, a leading provider of software solutions, as an experienced Amazon Web Services (AWS) Leader. You will drive the strategy, design, development, and implementation of data solutions on the cloud, leveraging your expertise in emerging data technologies and Generative AI (GenAI). This role involves building a data lake on AWS, designing scalable cloud solutions, implementing security measures, and optimizing application performance. You will collaborate with engineering teams to develop infrastructure for scaling GenAI applications and ensure data integrity and security. The ideal candidate possesses strong AWS experience, database architecture knowledge, and excellent communication and leadership skills. AWS certification is required.

Requirements

• 5+ years of experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in database architecture, ETL BI, big data machine learning & advanced analytics strategic thinking
• Understanding of data storage best practices, such as data partitioning and compression, to improve performance and reduce costs
• Strong communication, adaptability & leadership skills to bridge knowledge gaps across teams embracing change, experimentation while driving technology transformation
• AWS certification

Responsibilities

• Build a data lake on AWS, for storing raw, structured, and unstructured data in a scalable and durable way
• Design and implement scalable, secure, and cost-effective cloud solutions using AWS services
• Implement AWS IAM and AWS Lake Formation to manage access, permissions, and data encryption
• Develop and implement technical efforts to design, build, and deploy AWS applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics
• Create a data catalog, making it easier to search and query data stored in S3
• Ensure data integrity and security with IAM roles, adhering to AWS security best practices
• Optimize application performance by leveraging AWS services and tools
• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
• Foster collaboration across teams ensuring strategic vision is executed effectively
• Work closely with engineers to develop necessary infrastructure for scaling GenAI applications
• Focus on delivering tangible value by understanding end-user needs impacted by technology + ethical decision-making with responsible AI practices