Public Partnerships | PPL
Public Partnerships | PPL
Public Partnerships | PPL स्वयं-निर्देशित Medicaid दीर्घकालिक देखभाल कार्यक्रमों के लिए वित्तीय प्रबंधन और प्रशासनिक सेवाएँ प्रदान करता है। इसकी सेवाएँ पात्र Medicaid प्रतिभागियों को देखभालकर्ताओं, जिनमें परिवार के सदस्य और मित्र भी शामिल हैं, का चयन, नियुक्ति और प्रबंधन करने में मदद करती हैं। PPL वेतन-प्रबंधन, भुगतान, कर दस्तावेज़ीकरण, अनुपालन और संबंधित कार्यक्रम प्रशासन का सहयोग देता है। कंपनी प्रतिभागियों, देखभालकर्ताओं, राज्य Medicaid एजेंसियों, प्रबंधित देखभाल संगठनों और अन्य कार्यक्रम प्रशासकों के लिए डिजिटल उपकरण और मार्गदर्शन भी प्रदान करती है। इन जिम्मेदारियों के समन्वय में मदद करके PPL स्वयं-निर्देशित देखभाल मॉडलों का समर्थन करता है, जिनका उद्देश्य लोगों के लिए घर पर देखभाल प्राप्त करना आसान बनाना है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

संबंधित नौकरियाँ

WEX

Staff Software Engineer, Data Acquisition (Remote, US)

WEX

Lead development of WEX’s distributed data acquisition and ingestion platform. Set technical direction for reusable connectors, batch, CDC, and streaming pipelines, reliability, and governance.

खोलें
Association of American Medical Colleges (AAMC)

Senior Data Engineering Manager

Association of American Medical Colleges (AAMC)

Lead AAMC’s enterprise data engineering and Salesforce application management teams, building scalable and secure platforms. Keep systems dependable in support of medical education and healthcare transformation.

खोलें
CACI International Inc

Senior Lead Data Engineer, AI and Cloud

CACI International Inc

Lead the design and production deployment of AI-enabled data solutions for a U.S. government financial management customer. The role spans cloud architecture, DevSecOps, analytics, and collaboration across engineering and product teams.

खोलें
L3Harris Technologies

Chief Data Architect, Palantir

L3Harris Technologies

Lead ontology, integration, and governance for L3Harris Technologies’ enterprise Palantir data and AI program. Shape a unified data architecture spanning approximately 100 legacy systems.

खोलें
Reality Defender (YC W22)

Staff Data Platform Engineer

Reality Defender (YC W22)

Lead the Databricks-based data platform behind Reality Defender’s deepfake detection research. Build reproducible multimodal datasets and scalable synthetic data generation pipelines.

खोलें