Data Architecture Lead

6 days ago

Boise, Idaho, United States R1 RCM Full time
About the Role

We are seeking a highly experienced Data Architecture Lead to join our team at R1 RCM. As a key member of our organization, you will be responsible for developing and implementing data architecture, data models, and pipeline design to support our organization's data management needs.

Key Responsibilities
  • Collaborate with cross-functional teams to develop a cohesive data architecture, with data management best practices.
  • Develop comprehensive data models, data flow diagrams, and data dictionaries to support efficient data storage, retrieval, and analysis.
  • Define and implement data integration patterns to ensure seamless data exchange between systems.
  • Establish data governance policies, procedures, and best practices to maintain data quality, privacy, and security.
  • Lead data integration projects, ensuring seamless data migration between legacy systems and new platforms while maintaining data accuracy and consistency.
  • Document data architecture designs, guidelines, and standards.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Provide guidance and mentorship to junior data professionals, supporting their professional growth and development within the organization.
Requirements
  • 20+ years' experience in software and data engineering.
  • 10+ years of experience working with data platforms and management of healthcare data.
  • Healthcare Data Expertise: Utilize extensive knowledge of healthcare data standards (e.g., HL7, FHIR, X.12, ICD-10) and regulatory requirements (e.g., HIPAA, GDPR) to guide data architecture design and data governance practices.
  • Strong knowledge of data architecture principles, data modeling, and data governance.
  • Extensive hands-on experience with Apache Spark, Scala, Databricks, and Azure data ecosystem technologies.
  • Strong Proficiency in highly scalable data integration techniques, data warehousing, and ETL processes.
  • Hands on experience with cloud-based data solutions and big data technologies required.
  • Exceptional analytical, problem-solving, and communication skills.
  • Experience with data visualization tools and technologies.
  • Ability to work collaboratively in a team environment and lead cross-functional initiatives.
  • Working experience in additional modern data technologies including Databricks Lakehouse/Delta lake, Airflow, DBT, FiveTran, Arceon, Snowflake a plus.
  • Minimum bachelor's degree in Computer Science, Electrical/Computer Engineering, Mathematics, Information Technology or related engineering disciplines.
  • Strong business and process knowledge, technology implementation, change management and large-scale program management.
  • Experience working with globally distributed teams.
What We Offer

We offer a competitive benefits package and a collaborative work environment that fosters growth and development. Our team is dedicated to using our shared expertise to find new solutions that can keep up with the evolving healthcare system.

We are an equal opportunity employer and are committed to providing a workplace free from harassment based on any protected category. If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us for assistance.

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