Hybrid Contract Role Of Data Architect

• 5+ years in Data Modeling is a must, building the Lakehouse architecture a must. Experience with use cases, claim and provider modeling.
• Must be able to speak to all experience in deep detail, rolling up sleeves and showing how work is performed. Candidates are being rejected for being too high level in their answers.
• Databricks experience a must
• Cloud experiencess a must (Azure preferred, but would also accept AWS, Google Cloud Platform)
• Deep expertise in data architecture, database technologies, and cloud platforms
• Proficiency with SQL and NoSQL databases, Python, and PySpark.
• Hands-on experience with integration and data engineering tools such as Azure Data Factory, Databricks, Kafka, IBM DataStage, and Informatica.
• Familiarity with business intelligence and analytics platforms.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills for working with cross-functional teams.
• Ability to work independently and manage multiple priorities effectively.

Bonus Skills

• Snowflake experience a bonus
• Erwin for data modeling a bonus
• Healthcare experience is a very strong bonus - please list all healthcare companies worked for in submittal.
• Strong understanding of healthcare interoperability standards such as HL7, FHIR, CCDs, HIE, and USCDI/US Core.
• 10+ years of experience in data architecture, ideally within the healthcare sector.
• 5+ years of managing large-scale healthcare data systems.
• 5+ years designing and implementing healthcare interoperability solutions.
• 5+ years architecting cloud-based data platforms (Azure, AWS, Google Cloud Platform, Databricks, Snowflake).
• Experience with major EHR systems such as Epic or Cerner.