Senior_ETL_Cloud_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:**

• *Role Summary**

As a Senior ETL \& Cloud Engineer, you will handle Solventum’s data movement and cloud foundations—designing resilient pipelines, enforcing data contracts and observability, and engineering secure, scalable AWS infrastructure. You will partner with product/analytics/security and deliver trustworthy, timely, and compliant data for clinical operations and analytics.

• *Key Responsibilities**

• *Data \& ELT/ETL Engineering**

Own source raw refined* curated pipelines using Python/PySpark on AWS and other clouds

• Design ELT with dbt (models, tests, docs); define conventions for staging/marts/semantic layers and automated tests to keep curated datasets trustworthy.
• Establish standards for data quality, observability (logs/metrics/alerts), SLAs/SLOs, and cost/performance (partitioning, clustering/Z‑order, warehouse sizing); author runbooks and drive incident response.
• BI tools knowledge is desirable

• *Cloud/Platform Engineering**

• Design multi‑account AWS foundations: VPC networking, IAM least‑privilege roles/policies, private endpoints, and encryption with KMS.
• Build Infrastructure as Code with Terraform (or CloudFormation/AWS CDK); implement CI/CD for applications and infrastructure with policy guardrails.
• Engineer compute patterns across EKS/ECS and serverless (Lambda/EventBridge/SQS/SNS); enable blue/green or canary deployments.
• Implement observability with CloudWatch/CloudTrail/OpenSearch/Prometheus; publish actionable dashboards and alerts; participate in on‑call rotations.
• Design resilience (multi‑AZ/Region) with tested backup/DR and failover runbooks; optimize cost via tagging, rightsizing, and storage tiering.

• *Architecture, Enablement \& Collaboration**

• Drive architecture decisions (table formats, storage layout, CDC, streaming vs. batch) aligned to reference designs and retention policies.
• Curate reusable patterns
• Partner with product/analysts/InfoSec to translate requirements into robust data flows and clearly documented data contracts and usage guidance.

• *Minimum Qualifications**

• Bachelor’s degree in CS/IS/Engineering or High School Diploma/GED with 9\+ years of professional data engineering/ETL experience.
• 6\+ years designing, building, and operating production ETL/ELT pipelines using Python (preferably PySpark) and SQL.
• 4\+ years with Solventum’s primary data stacks: AWS (S3, Glue, Redshift) or Snowflake \+ dbt for ELT, orchestrated by Airflow.
• 3\+ years hands‑on AWS across compute/networking/storage/security (e.g., EC2/EKS/ECS/Lambda, VPC, S3, RDS/Aurora, IAM, API Gateway).
• 3\+ years with Infrastructure as Code (Terraform preferred; CloudFormation/AWS CDK acceptable) and CI/CD for apps and infra; practical observability experience.

• *Preferred Qualifications**

• Spark \& SQL performance tuning (partitioning/file sizing, broadcast, Z‑order/clustering, warehouse sizing).
• Data modeling (dimensional, Data Vault), contract‑first design, curated datasets with clear SLOs.
• Streaming/CDC (Kinesis/Kafka) and schema‑evolution strategies.
• Security‑by‑design (secrets management, access controls, encryption, retention/lifecycle).
• Healthcare standards (HL7 v2\.x, FHIR); AWS/dbt/Snowflake certifications.

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