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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end application architecture, data integration, and analytics solutions, with a strong focus on Python development, SQL, and automation practices. Proven ability to lead teams, mentor staff, and communicate effectively with stakeholders in complex environments.
Highest-signal resume keywords
End-To-End Application ArchitecturePython DevelopmentAdvanced SQLAzure DevOpsBusiness Intelligence Reporting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IntegrationETL/ELTData Warehouse ArchitectureAPI DesignAutomationData ModelingPerformance TuningTroubleshootingLinux/Unix ScriptingAI-Assisted Engineering
Soft Skills
LeadershipCommunicationPresentation SkillsMentoring
Tools & Technologies
BusinessObjectsPower BITableauAzure Data FactoryDatabricksSnowflakeCI/CDMonitoring ToolsJob Scheduling ToolsInformatica
Certifications & Qualifications
Relevant Architecture CertificationsCloud CertificationsAgile Certifications
Industry Keywords
Healthcare PayerMedicaidManaged CareHealth InsuranceHIPAAPHIPIIFederal ReportingCMS-64Public-Sector Compliance
Tech Stack
Tools & technologiesAzureCloudETLInformaticaLinuxPythonSQLTableauUnix
About the role
Key responsibilities & impact- Own end-to-end application and technical architecture for reporting, analytics, data integration, and transaction-based processing solutions
- Translate business, operational, and regulatory requirements into maintainable system designs
- Design and lead modernization of legacy ETL, SQL logic, Linux/Unix scripts, and manual processing into Python-based applications and automation
- Provide hands-on technical leadership across architecture, development, code review, testing, deployment, performance tuning, and production support
- Build proof-of-concepts comparing solution options and document measurable results
- Define technical architecture across web/UI, API and service layers, processing engines, databases, orchestration, scheduling, security, identity/access, monitoring, and backup/recovery
- Lead BI and analytics delivery, including enterprise report design, drill-down and detail reporting, reconciliation, data quality, and legacy reporting modernization
- Establish engineering practices using Azure DevOps or equivalent, including epics, repositories, branching, pull requests, code review, CI/CD, release traceability, and production deployment
- Apply AI and automation with appropriate governance to accelerate analysis, conversion, documentation, and testing
- Produce architecture diagrams, solution designs, technical specifications, dataflow and interface documentation, roadmaps, estimates, risks, and operational support models
- Lead and mentor architects, data engineers, ETL and BI developers, modelers, analysts, and testers
- Present architecture, options, risks, and recommendations to customer stakeholders and Optum leadership
Requirements
What you’ll need- Bachelor’s degree in computer science, engineering, information systems, or related field, or equivalent professional experience
- 10+ years of information technology experience
- Senior-level application, solution, technical, or data architecture experience for large enterprise systems
- Experience architecting enterprise data warehouse, reporting, analytics, and claims or transaction-processing solutions from the ground up
- Hands-on development experience with Python and advanced SQL
- Experience with automation, data processing, troubleshooting, and code review
- Experience designing application architecture including APIs, services, web components, databases, security, identity/access, job scheduling, monitoring, and environment management
- Hands-on BI/reporting experience with BusinessObjects, Power BI, Tableau, SAS, or comparable enterprise reporting tools
- Experience implementing source control, branching, pull requests, CI/CD, and automated deployment in Azure DevOps or a similar platform
- People leadership experience leading BI, data, and engineering staff
- Strong written, verbal, and presentation skills for customer and executive audiences
- Healthcare payer, Medicaid, managed care, or health-insurance experience is a bonus
- Federal reporting experience, especially CMS-64, quarterly expenditure reporting, reconciliation, certification, or related state Medicaid reporting, is a bonus
- On-premises to cloud migration experience with Microsoft Azure, Azure Data Factory, Databricks, Data Lake Storage, Snowflake, or comparable cloud data services is a bonus
- ETL/ELT and data engineering experience with Informatica, Teradata, or comparable enterprise integration and large-scale MPP data warehouse platforms is a bonus
- Experience applying AI-assisted engineering or automation to code conversion, source-to-target mapping, testing, documentation, and data-quality activities within enterprise governance is a bonus
- Data modeling across conceptual, logical, and physical models, effective-dated reference data, dimensional models, and transaction lineage is a bonus
- Linux/Unix scripting and job orchestration experience is a bonus
- Knowledge of HIPAA, PHI, PII, security architecture, and public-sector compliance expectations is a bonus
- Advanced degree or relevant architecture, cloud, data, or agile certifications is a bonus
Benefits
Comp & perks- Purposeful projects improving systems that serve real people
- People-first culture with support, autonomy, and community
- Growth opportunities
- Meaningful work and purpose
- Collaborative work environment
- Hands-on strategic work and client workshops
- Opportunity to influence architecture, delivery, and solution decisions