Senior Cloud Data engineer

SOLVENTUM

1d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.
• Professional certifications in AWS, GCP, Azure, or cloud‑native specialties.

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.

Benefits

• Solventum offers many programs to help you live your best life – both physically and financially.
• To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
• Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees