Principal Data Architect

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $162.5k - $214k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Logo of Public Partnerships | PPL

Public Partnerships | PPL

1001 - 5000 employees

⚕️ Healthcare Insurance

🤝 B2B

Healthcare Insurance • B2B

Public Partnerships | PPL is a provider of financial management and administrative services that enable self-directed Medicaid long-term care. The company helps eligible Medicaid participants hire and manage caregivers (including family or friends), handles payroll, payments, tax and compliance paperwork, and offers online tools and support to participants, caregivers, and program administrators. PPL partners with state Medicaid agencies and managed care organizations to administer self-directed care programs across multiple states, aiming to simplify program administration and keep people in their homes.

📋 Description

• Design and own governed data products, including certified Gold-layer datasets, shared semantic and metric layers, and reusable client-ready data models • Build configurable, standards-based patterns for regulatory and program variability • Establish data certification standards covering lineage, quality checks, and sign-off • Translate recurring client needs into platform capabilities • Own the target-state analytics platform architecture on Databricks and Azure • Design architecture for nationwide scale and regulatory variability across program and state data domains • Architect and build the enterprise master data layer and steward master entity indices linking participant and provider identities • Lead ingestion and integration of third-party datasets • Build and optimize batch and streaming pipelines using Spark, Python, SQL, dbt, and Azure Data Factory or equivalent • Optimize performance, partitioning, query efficiency, and storage and compute costs • Define and enforce data quality, lineage, and documentation requirements • Implement governance, security, access-control, and metadata standards aligned with HIPAA/HITECH, CMS/Medicaid program integrity, SOC 2, and applicable state requirements • Codify architecture standards and provide independent technical assurance before production, client, or regulator delivery • Partner with Engineering, Compliance, Finance, analytics, and business leadership on data strategy and modernization • Lead and develop a team of two data engineers by assigning work, reviewing output, and mentoring • Deliver certified datasets with consistent metric definitions, a production master person index, governed configurable code patterns, documented lineage, automated quality checks, and reduced analysis-delivery time

🎯 Requirements

• Deep, demonstrable expertise in cloud data architecture on Databricks and Azure, including Unity Catalog, medallion architecture, and Delta Lake, at enterprise scale • Proven master data management and entity-resolution implementation, including matching strategies, survivorship, and stewardship of person-level data • Rigorous dimensional and normalized data modeling, including semantic and metric layer design for analyst-facing consumption • Hands-on engineering experience with CI/CD, testing, and version control • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience • 10+ years in data architecture, data engineering, or enterprise data platform development, including principal-level ownership of enterprise-scale designs • Production experience designing and operating Databricks on Azure • Hands-on MDM and entity-resolution implementation • Track record of establishing architecture standards and governance in multi-stakeholder environments • Remote work eligibility in the United States • Preferred: healthcare, Medicaid, or government-program data experience; client-facing analytics or consulting experience; familiarity with Apache Iceberg and open table formats

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