Thank you for your interest in joining 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. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description:

Solventum is seeking a highly motivated Senior Cloud Data Engineer to help shape the future of global health informatics. In this role, you will collaborate with cross-functional teams to design, build, and support our Enterprise Data Mesh, enabling scalable, data-driven healthcare solutions worldwide.

You will work closely with SaaS application teams and data stakeholders to develop robust, secure, and scalable data platforms that power insights for a broad network of healthcare providers.

Key Responsibilities

• Design, develop, and maintain scalable AWS-based data platform services, including EMR, S3, Glue, RDS, Aurora, Redshift, PostgreSQL, and DynamoDB, using automated cloud deployment pipelines.
• Build, monitor, and optimize high-performance data pipelines leveraging modern big data frameworks to ensure reliability, scalability, and efficiency.
• Provide technical leadership and mentorship to data engineering teams, fostering a culture of innovation, quality, and continuous improvement.
• Establish and promote data engineering best practices, including data modeling standards, pipeline design, and cost-efficient data usage.
• Partner with senior technical leaders, analysts, engineers, and data scientists to deliver scalable AWS-based data solutions.
• Architect and implement advanced data solutions, including data integration, transformation, governance, and application enablement.
• Collaborate with domain teams to design physical data models and data mappings aligned with business and healthcare requirements.

Required Qualifications

• Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution.
• 8+ years of experience designing, deploying, and managing cloud-based data platforms on AWS.
• Extensive experience implementing big data technologies and modern Data Lakehouse architectures on AWS.
• Deep expertise in AWS services such as EMR, Glue, S3, RDS, and Aurora PostgreSQL.
• Strong experience building and automating scalable data pipelines.
• Proficiency in Python, PySpark, Scala, and advanced SQL for large-scale data processing.
• Experience with infrastructure as code tools such as Terraform and serverless technologies including AWS Lambda.

   

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