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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing BI and analytics solutions for healthcare coding and clinical data products, with a strong focus on cloud-native architecture and data modeling. Proven ability to lead technical teams, establish engineering best practices, and deliver scalable enterprise applications.
Highest-signal resume keywords
BI Architecture DesignCloud-Native ArchitectureData Pipeline DevelopmentAnalytics IntegrationTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData ModelingETL WorkflowsApplication Performance OptimizationPythonSparkAWS GlueQuickSightPower BILakehouse Architecture
Soft Skills
CollaborationMentoringSelf-StarterMotivation
Tools & Technologies
AWSAzureApache ArrowParquetNifiAirflowSupersetEMR
Industry Keywords
Healthcare CodingClinical Data ProductsEnterprise AnalyticsData-Driven ProductsSecurity Standards
Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudETLPythonSpark
About the role
Key responsibilities & impact- Lead design, development, and evolution of BI and analytics solutions for healthcare coding and clinical data products
- Implement enterprise analytics best practices, data models, semantic models, and agentic and generative AI analytics solutions
- Determine BI architecture, data modeling, and analytics best practices for Solventum HIS products and customer solutions
- Support HIS analytics development for internal and external customers across the United States and globally
- Collaborate with teams throughout Solventum to deliver data-driven products
- Comply with corporate policies, procedures, and security standards while performing assigned duties
Requirements
What you’ll need- Bachelor or higher (completed and verified prior to start) from an accredited institution in computer science, Mathematics, Statistics, Data Science or related field
- Ten (10+) years of Experience in Software Engineering
- 3–5+ years in an architecture or technical leadership role designing scalable enterprise applications
- Experience leading architecture design, proof of concepts (POCs), and technical evaluations
- Experience establishing and enforcing engineering best practices, coding standards, and architectural governance across teams
- Experience building user-facing applications with embedded analytics, including dashboards and BI integrations such as QuickSight, Power BI, or similar
- Experience collaborating across functions and mentoring development teams on architecture patterns, cloud design, and analytics integration
- Experience designing and implementing complex data pipelines and ETL workflows using AWS Glue, Lambda, Spark, or equivalent
- Experience with application performance optimization, data modeling, and distributed system design for large-scale data and analytics workloads
- Hands-on experience with cloud-native architecture in AWS and/or Azure, including networking, security, and managed services
- Experience designing systems supporting scalability, security, reliability, and large-scale data processing
- Experience in Python, Spark, and EMR
- Experience in Lakehouse and Fabric architecture
- Experience with open-source tools such as Apache Arrow, Parquet, Nifi, Airflow, and Superset
- Demonstrated advancement of analytics to Agentic first pipelines such as Langchain
- Must be legally authorized to work in the United States without sponsorship for employment visa status
- Highly motivated and a self-starter
Benefits
Comp & perks- Medical, Dental & Vision
- Health Savings Accounts
- Health Care & Dependent Care Flexible Spending Accounts
- Disability Benefits
- Life Insurance
- Voluntary Benefits
- Paid Absences
- Retirement Benefits
- Company-paid travel arrangements and related expenses for required on-site onboarding
- Travel may include up to 5% domestic/international