Sr AWS Data Engineer

Position Overview

Join to apply for the Sr AWS Data Engineer role at Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges.

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a pioneering company that blends breakthrough innovation with advanced data and cloud solutions, you will have the opportunity to shape the future of global health informatics. This role is remote with occasional travel (up to 15% domestic/international). Applicants must be legally authorized to work without sponsorship.

Key Responsibilities

• Design and build scalable, efficient, and fault-tolerant data operations with structured and unstructured data.
• Develop, build, and maintain AWS data platform services such as S3, RDS, Aurora, Redshift, PostgreSQL, and DynamoDB using cloud deployment pipelines.
• Develop, maintain, and optimize robust data pipelines for performance, reliability, and scalability.
• Provide technical leadership to data engineers while fostering a culture of excellence and continuous improvement.
• Promote best practices in data engineering, mentoring teams on database standards and efficient data usage.
• Partner with senior technical leads, analysts, engineers, and scientists to implement scalable data initiatives using AWS cloud services.
• Implement advanced data architectures for data integration, modeling, governance, and application design.
• Collaborate with domain teams to design physical data models and mappings.
• Implement and manage database security, including user access controls and data encryption, ensuring compliance with HIPAA, SOC 2, FedRAMP, and StateRAMP standards.

Required Qualifications

• Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution AND a minimum of 8 years’ experience deploying and managing cloud data platforms on AWS.
• Extensive expertise in cloud-based data storage and processing on AWS, with deep experience in AWS S3, RDS, Aurora PostgreSQL, and MSSQL.
• AWS professional certificate(s) are required.

Preferred Qualifications

• Experience in scripting using Python, PySpark, Scala, and advanced SQL techniques.
• Expertise in data modeling, ETL processes, and data warehousing.
• Knowledge of cloud-native architecture and distributed computing with AWS tools such as Glue and EMR.
• Experience with modern data warehouse/Lakehouse architecture and data governance practices.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform) and GraphQL.
• Agile development experience with proficiency in tools like JIRA and Confluence.
• Strong collaboration and communication skills.