Senior Data Architect

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Design and implement a comprehensive data architecture for an integrated care platform.

• Create scalable enterprise data platforms to meet clinical, operational, reporting, and analytics requirements.

• Utilize AI technologies to enhance system design, development, and operational efficiency.

• Develop and maintain enterprise data models and integration solutions across Microsoft Dynamics, EHR/EMR, claims, and third-party systems.

• Lead the development and management of ETL/ELT processes to ensure reliable data ingestion, transformation, validation, and distribution.

• Establish standards for data governance, data quality, metadata management, and master data management.

• Collaborate with the Engineering team to create modern cloud-based data solutions using Azure, including data lake and data warehouse architectures.

• Ensure that data solutions adhere to HIPAA, HITRUST, privacy, security, and regulatory standards.

• Work with business stakeholders to convert strategic objectives into scalable data solutions.

⛳️ Requirements

• 8-10+ years of experience in designing and implementing enterprise data platforms and architectures using Python, Azure platforms, and SQL.

• Healthcare data management experience is essential.

• Extensive experience with Azure Data Platform technologies, including Azure Data Factory, Azure Functions, Power Platform, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage, and Databricks.

• Strong background in designing data warehouses, data lakes, lakehouse architectures, and enterprise reporting platforms.

• Proven ability to create and utilize HTTP web service APIs, webhooks, and GraphQL.

• In-depth 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.

• Preference for candidates with experience in healthcare data standards and operational healthcare datasets.

• Strong knowledge of data governance, data quality management, metadata management, and master data management principles.

• Excellent written and verbal communication skills.

🏝️ Benefits

• A team-oriented, collaborative environment that fosters continuous learning and ambition.

• A MacBook will be provided for your business activities.

• Flexible work schedule.