Public Partnerships | PPL
Public Partnerships | PPL
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasB2BSveikatos draudimas
Public Partnerships | PPL teikia finansų valdymo ir administracines paslaugas savarankiškai organizuojamos Medicaid ilgalaikės priežiūros programoms. Jos paslaugos padeda reikalavimus atitinkantiems Medicaid dalyviams pasirinkti, įdarbinti ir valdyti slaugytojus, įskaitant šeimos narius ir draugus, o PPL rūpinasi darbo užmokesčio apskaita, mokėjimais, mokesčių dokumentais, atitiktimi ir kitu programų administravimu. Įmonė taip pat teikia skaitmenines priemones ir rekomendacijas dalyviams, slaugytojams, valstijų Medicaid agentūroms, valdomos priežiūros organizacijoms ir kitiems programų administratoriams. Padėdama koordinuoti šias atsakomybes, PPL remia savarankiškai organizuojamos priežiūros modelius, kurių tikslas – palengvinti žmonėms galimybę gauti priežiūrą namuose.

Principal Data Architect, Databricks and Azure

Lead the design of governed Databricks and Azure analytics platforms supporting Medicaid financial management services. Build master data capabilities, resolve participant and provider identities, and deliver compliant data products at nationwide scale.

Aprašymas

  • Create and oversee governed data products, including certified Gold-layer datasets, shared semantic and metric layers, and reusable client-ready models.
  • Develop configurable, standards-based approaches that accommodate changing regulations and program needs.
  • Set certification practices for data lineage, quality checks, and approvals.
  • Turn recurring client requirements into platform features.
  • Direct the target-state analytics architecture on Databricks and Azure.
  • Design for nationwide operations and regulatory differences across program and state data domains.
  • Build the enterprise master data layer and manage master entity indices that connect participant and provider identities.
  • Lead the intake and integration of third-party data.
  • Develop and tune batch and streaming pipelines with Spark, Python, SQL, dbt, and Azure Data Factory or similar tools.
  • Improve performance, partitioning, query efficiency, and storage and compute costs.
  • Set and uphold requirements for data quality, lineage, and documentation.
  • Establish governance, security, access control, and metadata practices aligned with HIPAA/HITECH, CMS and Medicaid program integrity, SOC 2, and applicable state requirements.
  • Document architecture standards and independently assess technical readiness before production, client, or regulator delivery.
  • Work with Engineering, Compliance, Finance, analytics, and business leaders on data strategy and modernization.
  • Manage and mentor two data engineers, including assigning work and reviewing deliverables.
  • Deliver certified datasets, consistent metric definitions, a production master person index, governed configurable code patterns, documented lineage, automated quality checks, and shorter analysis delivery times.

Reikalavimai

  • Bring deep, demonstrable expertise in enterprise cloud data architecture with Databricks and Azure, including Unity Catalog, medallion architecture, and Delta Lake.
  • Have implemented master data management and entity resolution, including matching approaches, survivorship, and stewardship of person-level data.
  • Apply rigorous dimensional and normalized data modeling, including semantic and metric layer design for analyst use.
  • Have hands-on experience with CI/CD, testing, and version control.
  • Hold a bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or have equivalent professional experience.
  • Bring 10 or more years in data architecture, data engineering, or enterprise data platform development, including principal-level ownership of enterprise-scale designs.
  • Have production experience designing and operating Databricks on Azure.
  • Have hands-on experience implementing MDM and entity resolution.
  • Show a record of setting architecture standards and governance across environments with multiple stakeholders.
  • Be eligible to work remotely from the United States.
  • Preferred: experience with healthcare, Medicaid, or government-program data; client-facing analytics or consulting; and familiarity with Apache Iceberg and open table formats.

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