Senior Cloud Data engineer

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:

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

The Impact You’ll Make in this Role

Solventum is seeking a highly motivated Senior Cloud Data Engineer to help shape the future of global health informatics. In this role, you’ll collaborate with cross-functional teams to design and support our Enterprise Data Mesh, enabling data-driven healthcare innovations on a global scale. You will work closely with SaaS application teams to build robust and scalable data solutions used by a wide network of healthcare providers.

Key Responsibilities

• Design and implement scalable, efficient, and fault‑tolerant data operations across structured and unstructured data systems.

• Develop, build, and maintain AWS data platform services including S3, RDS, SQL/NoSQL databases, and data pipelines.

• Build and maintain robust data pipelines for multi‑tenant database schema changes, ingestion, transformation, and distribution of data streams.

• Partner with senior technical leads, analysts, engineers, and data scientists to deliver scalable cloud-based data solutions using AWS services.

• Champion data engineering best practices, driving standards for data quality, pipeline reliability, database design, and consumption efficiency.

• Mentor and guide internal engineering teams on pipeline development, database standards, and effective data usage.

 

Your Skills and Expertise 

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

Bachelor’s degree (or higher) in Computer Science, Engineering, or related technical field.

• 8+ years of strong experience deploying, managing, and optimizing cloud data platforms.

• Proven experience building automation for build, test, and deployment workflows for data pipelines.

• Expertise in Python, PySpark,  Terraform, CloudFormation and advanced SQL techniques.

• Advanced proficiency in SQL with demonstrated experience in designing and optimizing complex queries.

 

Additional qualifications that could help you succeed even further in this role include:

• Experience automating workflows in multi-cloud environments (AWS, GCP, Azure).

• Hands-on experience with cloud-native architectures and distributed computing using AWS tools such as EMR, Glue, Databricks, and data Lakehouse architectures.

• Familiarity with GraphQL for API-based data services.

• Experience with Docker, Kubernetes, and microservice‑based Data API development.

• Expertise in stream processing technologies such as Amazon Kinesis, Apache Spark, Storm, or Kafka.

• Strong collaboration and communication skills, with experience working across cross-functional teams.