Principal Data Architect

Public Partnerships | PPL

. Design and own governed data products, including certified Gold-layer datasets, shared semantic and metric layers, and reusable client-ready data models .

Posted 10/21/2026full-timeRemote • United StatesLead💰 $162,500 - $214,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud data architecture on Databricks and Azure, with a focus on master data management, data governance, and the design of scalable data products. Proven ability to lead teams and collaborate across multiple stakeholders to deliver high-quality, certified datasets and optimize data processes.

Highest-signal resume keywords

Cloud Data ArchitectureMaster Data ManagementData GovernanceDatabricks and AzureData Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingEntity ResolutionBatch and Streaming PipelinesSQLPythonSparkCI/CDVersion ControlData Quality AssuranceMetadata Standards

Soft Skills

Team LeadershipMentoringCollaborationCommunication

Tools & Technologies

DatabricksAzure Data FactoryUnity CatalogDelta LakeApache Iceberg

Industry Keywords

HIPAAHITECHCMSMedicaidGovernment Programs

Tech Stack

Tools & technologies

ApacheAzureCloudPythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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