Sr. Cloud Data Engineer (AWS)

A leading global hotel company is seeking a Senior Cloud Data Engineer to join its growing Data Platform Architecture team. This individual will help design and build enterprise-scale cloud data solutions that support analytics, automation, and data-driven decision making across the organization. The ideal candidate is a highly motivated AWS expert who is passionate about innovation, problem-solving, and delivering exceptional user experiences. * Partner with data engineering, data science, and product teams to deliver enterprise data platform capabilities for a leading global hotel company. * Design, develop, and implement enterprise data solutions aligned with architecture standards and strategic technology objectives. * Build and enhance cloud-based data platforms that support analytics, reporting, and machine learning initiatives. * Develop scalable, resilient, high-performing, and secure data infrastructure and applications within AWS. * Implement and optimize data migration, data integration, and machine learning pipelines. * Establish and maintain IAM roles, policies, and security controls across cloud environments. * Automate deployment processes for AWS services, data applications, and BI platforms. * Evaluate emerging technologies and recommend cloud solutions, architecture patterns, and tools that improve platform capabilities. * Collaborate with architecture, engineering, and migration teams to define cloud strategy and technology roadmaps. * Prototype and implement new technologies related to automation, scripting, containerization, and cloud-native services. * Support project planning, solution implementation, and ongoing operational improvements across multiple initiatives. * Provide technical leadership and architectural guidance to ensure solutions align with enterprise target-state architecture. * Troubleshoot complex technical issues and drive continuous improvement of platform reliability, performance, and scalability. * Build strong relationships with stakeholders and serve as a trusted advisor for cloud data platform solutions

• • Very Strong experience using Snowflake native pipelines, Snowflake native app including Streamlet, Python based Container services. * Experience using AI, including Snowflake Cortex AI capabilities. * Good knowledge in application and backend API development using object-oriented programming (Python, Java, Go, TypeScript/JavaScript). * 6+ years of experience in data engineering, platform engineering, business intelligence, analytics, or related technical disciplines. * 4+ years of hands-on AWS cloud engineering experience, including architecture, implementation, administration, and best practices. * Strong expertise with AWS services including S3, EC2, RDS, Lambda, CloudFormation, Kinesis, EMR, Step Functions, VPC, IAM, Security Groups, and Data Pipelines. * Experience designing and building enterprise-scale cloud data platforms and analytical solutions. * Experience with modern data warehousing technologies such as Snowflake, Amazon Redshift, or similar platforms. * Strong database and programming experience with SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis. * Experience designing, building, and maintaining scalable, reliable, and secure data pipelines and data platforms. * Experience implementing data migration solutions, data delivery frameworks, and machine learning pipelines. * Strong knowledge of IAM roles, policies, cloud security, and access management. * Experience with CI/CD pipelines, infrastructure as code, and deployment automation using tools such as GitHub Actions, Jenkins, AWS CodePipeline, Terraform, and CloudFormation. * Experience configuring cloud monitoring, alerting, and operational support for AWS environments. * Strong scripting skills using Python and/or PowerShell. * Understanding of enterprise application architecture, security requirements, and cloud-native best practices. * Experience with large-scale streaming platforms such as Kafka. * Experience with Kubernetes, Docker, AWS Fargate, or other containerization technologies. * Experience supporting both Windows and Linux-based application environments. * Experience with cloud networking, security groups, policy management, and multi-OS cloud infrastructure. * Experience planning and executing on-premises to AWS cloud migrations. * Advanced degree in Computer Science, Engineering, or a related field. * Experience working in highly dynamic, ambiguous, and rapidly evolving enterprise environments. * Passion for emerging technologies, cloud innovation, and continuous learning. * Local to Chicago, happy to come in 2-3 days per week