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CSpring
CSpring
51 – 200 Zaposleni
Sponzor vizuma H1BB2BSaaSSvetovanje
Founded in 1996, CSpring is a consulting firm that helps public and private sector organizations turn data into practical technology-enabled business solutions. Its full-time consultants work with clients to understand their objectives, then shape and deliver data architecture, data management, analytics, reporting, software, and visualizations suited to each organization. CSpring is a certified Woman-owned Business Enterprise and has been recognized as a Best Place to Work in Indiana.
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Delovna mesta v podjetju

Senior Technical Architect, Data and Analytics

Lead enterprise data warehouse, reporting, and analytics modernization at CSpring. Guide Python, SQL, BI, cloud, and engineering initiatives.

USZdružene države AmerikeILIllinoisNa daljavoPolni delovni časSeniorVodjaZahtevani Jezik: angleščinaBackend inženirProgramski inženir
AzureETLInformaticaLinuxOblakPythonSQLTableauUnix

Opis

  • Lead architecture for reporting, analytics, data integration, and transaction processing solutions.
  • Turn business, operational, and regulatory needs into maintainable system designs.
  • Modernize legacy ETL, SQL, Linux/Unix scripts, and manual processes as Python applications and automation.
  • Guide architecture, development, reviews, testing, deployment, performance tuning, and production support hands-on.
  • Build proof-of-concepts to compare options and record measurable results.
  • Set architecture across web and UI, APIs and services, processing, databases, orchestration, scheduling, security, access, monitoring, and recovery.
  • Direct BI and analytics delivery, including enterprise reports, drill-downs, reconciliations, data quality, and legacy reporting upgrades.
  • Set engineering practices in Azure DevOps or equivalent, covering work items, repositories, branching, pull requests, reviews, CI/CD, release tracking, and deployment.
  • Use AI and automation with suitable governance to speed analysis, conversion, documentation, and testing.
  • Create architecture diagrams, designs, specifications, dataflow and interface documentation, roadmaps, estimates, risk records, and support models.
  • Lead and mentor architecture, data engineering, ETL, BI, modeling, analysis, and testing teams.
  • Present architecture choices, risks, and recommendations to customer stakeholders and Optum leaders.

Zahteve

  • Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent professional experience.
  • At least 10 years of information technology experience.
  • Senior-level application, solution, technical, or data architecture experience with large enterprise systems.
  • Experience building enterprise data warehouse, reporting, analytics, and claims or transaction-processing solutions from the ground up.
  • Hands-on Python development and advanced SQL skills.
  • Experience with automation, data processing, troubleshooting, and code review.
  • Experience designing application architecture across APIs, services, web components, databases, security, access, scheduling, monitoring, and environment management.
  • Hands-on BI and reporting experience with BusinessObjects, Power BI, Tableau, SAS, or similar enterprise tools.
  • Experience implementing source control, branching, pull requests, CI/CD, and automated deployment in Azure DevOps or a comparable platform.
  • Experience leading BI, data, and engineering teams.
  • Strong writing, speaking, and presentation skills for customer and executive audiences.
  • Healthcare payer, Medicaid, managed care, or health insurance experience is a plus.
  • Federal reporting experience, particularly CMS-64, quarterly expenditure reporting, reconciliation, certification, or related state Medicaid reporting, is a plus.
  • On-premises to cloud migration experience with Azure, Azure Data Factory, Databricks, Data Lake Storage, Snowflake, or comparable cloud data services is a plus.
  • ETL/ELT and data engineering experience with Informatica, Teradata, or comparable enterprise integration and large-scale MPP warehouse platforms is a plus.
  • Experience using AI-assisted engineering or automation for code conversion, source-to-target mapping, testing, documentation, and data quality under enterprise governance is a plus.
  • Experience modeling conceptual, logical, and physical data, effective-dated reference data, dimensional models, and transaction lineage is a plus.
  • Linux/Unix scripting and job orchestration experience is a plus.
  • Knowledge of HIPAA, PHI, PII, security architecture, and public-sector compliance expectations is a plus.
  • An advanced degree or relevant architecture, cloud, data, or agile certifications is a plus.

Ugodnosti

  • Work on purposeful projects that improve systems serving real people.
  • Join a people-first culture that offers support, autonomy, and community.
  • Access opportunities for professional growth.
  • Contribute to meaningful work with a clear purpose.
  • Work in a collaborative environment.
  • Take part in hands-on strategic work and client workshops.
  • Influence architecture, delivery, and solution decisions.

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