This is a fully remote full time 1099 contract role for 9-12 months.
ARE YOU READY TO TAKE THE HEALTHCARE SYSTEMS TO THE NEXT LEVEL?
THIS IS A CAREER DEFINING, EXCITING, AND HYPER GROWTH OPPORTUNITY FOR THE RIGHT PERSON.
Our client is an award winning HealthTech IT services company that provides digital health and AI development solutions for a variety of enterprises, ranging from startups to Fortune 20 companies. Their core focus is to democratize digital healthcare through open source solutions that expand the delivery and lower the costs of care.
Our client has designed and built systems for over 100 companies including Penn Medicine, Merck, Tomorrow Health, and many others. They have also been honored with many awards for their work including Fast Company World Changing Ideas, Fast Company Innovation By Design, Digital Health Awards, MobileWebAwards Best Mobile Application, Daveys Mobile Gold, and Daveys Health Services Gold.
Company Culture + Perks
Our client prides itself on having a diverse, inclusive team that values different viewpoints and types of expertise. If you have the desire to learn, grow, and lead, this is the right place for you. Our client has big ideas and is looking for big thinkers! Benefits of working with our client include:
- Team oriented, collaborative environment encouraging continuous learning and ambition.
- A Macbook will be provided to you for your business activities.
- Flexible work schedule.
Our client is looking for a Data Architect to lead the evolution of a next generation integrated care platform supporting multiple partners, customers, programs, and clinical conditions through a single configurable interface.
This role is responsible for designing and governing enterprise data architecture across clinical, operational, financial, and analytical systems while developing scalable data platforms, integration strategies, and data governance practices. Working closely with Product, Engineering, Clinical Operations, Analytics, and business stakeholders, the Data Architect will deliver secure, reliable, and high performing data solutions that support organizational growth and innovation. Responsibilities include:
- 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.
- 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.
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Reach out to us at www.saas-talent.com to learn more about how we can help you.
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