Senior Data Architect

PhillyTech (SaaS Talent)

Data Architect leading design for integrated care platforms in a remote HealthTech IT services environment. Collaborating with multiple departments to deliver high-performing data solutions.

Posted 7/18/2026contractRemote • Pennsylvania • 🇺🇸 United StatesSenior💰 $125 - $150 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise data architectures, leveraging Azure technologies and Python for scalable data solutions. Proficient in data governance, data quality management, and healthcare data standards to ensure compliance and operational efficiency.

Highest-signal resume keywords

Enterprise Data Architecture DesignAzure Data Platform ExperienceHealthcare Data ManagementData Governance PrinciplesETL/ELT Process Development

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData Modeling MethodologiesHTTP Web Service APIsData Warehouse DesignData Lake ArchitectureDimensional ModelingNormalized DesignsBusiness Intelligence PlatformsGraphQL

Soft Skills

Excellent Communication Skills

Tools & Technologies

Azure Data FactoryAzure FunctionsPower PlatformAzure Synapse AnalyticsAzure SQLAzure Data Lake StorageDatabricksTableauPower BIMicrosoft Fabric

Industry Keywords

HIPAA ComplianceHITRUST ComplianceData GovernanceData Quality ManagementMaster Data ManagementOperational Healthcare DatasetsHealthcare Data Standards

Tech Stack

Tools & technologies

AzureCloudETLGraphQLPythonSQLTableau

About the role

Key responsibilities & impact

Design and implement enterprise data architecture for an integrated care platform.
Architect scalable enterprise data platforms for clinical, operational, reporting, and analytics needs.
Leverage AI technologies to improve system design, development, and operational efficiency.
Design and maintain enterprise data models and integration solutions across Microsoft Dynamics, EHR/EMR, claims, and third party systems.
Develop and oversee ETL/ELT processes for reliable data ingestion, transformation, validation, and distribution.
Establish data governance, data quality, metadata management, and master data management standards.
Collaborate with Engineering to build modern cloud based data solutions using Azure, including data lake and data warehouse architectures.
Ensure data solutions comply with HIPAA, HITRUST, privacy, security, and regulatory requirements.
Partner with business stakeholders to translate strategic objectives into scalable data solutions.

Requirements

What you’ll need

8-10+ years of experience designing and implementing enterprise data platforms and architectures with Python, Azure platforms, and SQL.
Must have healthcare data management experience.
Extensive Azure Data Platform tech experience, including Azure Data Factory, Azure Functions, Power Platform, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage, and Databricks.
Strong experience designing data warehouses, data lakes, lakehouse architectures, and enterprise reporting platforms.
Proven experience creating and utilizing HTTP web service APIs, webhooks, and GraphQL.
Deep understanding of data modeling methodologies, including dimensional modeling, normalized designs, and modern analytical data structures.
Experience with business intelligence platforms such as Tableau, Power BI, and Microsoft Fabric.
Experience with healthcare data standards and operational healthcare datasets is strongly preferred.
Strong understanding of data governance, data quality management, metadata management, and master data management principles.
Excellent written and verbal communication skills.

Benefits

Comp & perks

Team oriented, collaborative environment encouraging continuous learning and ambition.
A Macbook will be provided to you for your business activities.
Flexible work schedule.