Position Description: The Information Technology Architect (Senior) shall provide expertise in the most
current principles and practices of architecture, data management systems, and experience in large system
designs, including Enterprise Data Warehouse (EDW) and cloud-based Data Lake solutions. The
individual must have experience in data modeling in the information management arena, including
Medallion Architecture and Dimensional Data Modeling (e.g., Star and Snowflake schemas). This role
requires knowledge of healthcare data standards and interoperability, such as EDI X12, FHIR, and HL7,
as well as expertise in AWS or equivalent platforms. The individual provides expertise in modeling and
organizing information to facilitate support of projects or information architectures and provides guidance
on how and what to data and process model.
The position primarily deals with transition planning from legacy to modern systems by concentrating on
information flows, data exchange, and data translation standardization services. This includes leading a
team responsible for designing, building, and maintaining scalable data pipelines, implementing Iceberg
or Delta Lake-based OLAP solutions, and ensuring regulatory compliance with HIPAA and CMS
standards.
Additional Key Responsibilities Include:
? Lead and mentor a team of data engineers in developing and maintaining scalable, automated data
pipelines.
? Architect and implement a Medallion Architecture-based Data Lakehouse with Bronze (Raw),
Silver (Cleansed), and Gold (Aggregated) layers.
? Design and develop an EDW on cloud platforms (e.g., AWS) using technologies such as Apache
Iceberg or Delta Lake.
? Build and optimize Dimensional Data Models using Star Schema and Snowflake Schema.
? Develop and optimize ETL/ELT workflows using tools like AWS Glue, Apache Spark,
Databricks, and Airflow.
? Work with AWS services (e.g., Glue, Redshift, Athena, EMR, HealthLake, Lake Formation) or
equivalent platforms.
? Process and integrate healthcare data in EDI X12 formats (837, 835, 278, etc.) and map to FHIR
and HL7 standards.
? Ensure compliance with HIPAA and CMS interoperability standards through data governance,
lineage, access controls, and encryption.
? Collaborate with business and technical stakeholders to align data architecture with
organizational goals.
Drive the adoption of CI/CD, automation, and infrastructure-as-code practices in data engineering
workflows.
Education: Bachelor’s Degree from an accredited college or university with a major in Engineering,
Computer Science, Mathematics or a related field. Master’s degree preferred.
General Experience: At least ten (10) years of experience planning, designing, building, and
implementing IT systems, including at least seven (7) years of experience in data engineering, ETL
development, or cloud data architecture, with at least two (2) years in a technical leadership role.
