Data Architect with healthcare experience

  • Austin, TX
  • Posted 7 hours ago | Updated 7 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

ETL
FHIR
CCDA
Snowflake
Azure OR AWS OR "Google Cloud" OR GCP
data warehousing

Job Details

JOB DESCRIPTION:

Location: Austin, Tx (Preferred Local candidate with in 50Miles)

Its W2 Position:

We are seeking a Senior Healthcare Data Architect to lead the design, development, and management of enterprise data architecture solutions in support of analytics, reporting, and healthcare operations. This role requires a deep understanding of data modeling, data warehousing, cloud platforms, and advanced analytics, with proven experience in healthcare data standards and integration. The ideal candidate will be a strategic thinker with strong technical expertise and leadership skills, capable of managing complex projects and guiding cross-functional teams.

Key Responsibilities

  • Lead the design, development, and maintenance of enterprise data models, data warehouses, and data lakes to support analytics and reporting initiatives.

  • Architect, deploy, and manage cloud-based data solutions on platforms such as Azure, AWS, or Google Cloud Platform.

  • Develop and optimize ETL pipelines using Informatica and other integration tools, ensuring efficient data flow across systems.

  • Ensure compliance with healthcare data standards (FHIR, HL7, CCDA) and support EHR integration, APIs, and real-time data streaming.

  • Evaluate and integrate emerging technologies, including AI, machine learning, and big data analytics, to enhance healthcare solutions.

  • Collaborate closely with data engineers, developers, analysts, and business stakeholders to ensure seamless data accessibility and usability.

  • Provide technical leadership for advanced analytics projects, ensuring adherence to architecture best practices and enterprise standards.

  • Manage cloud infrastructure, including data storage options, security considerations, and application deployment best practices.

  • Communicate complex technical concepts effectively to non-technical stakeholders, providing actionable insights and recommendations.

  • Stay current with industry trends, best practices, and regulatory requirements in healthcare data and cloud architecture.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.