Data Lead Architect

Visa Hunt; United States; On-site; USD 140,000 - 230,000; Full time

Job summary

Global Alliant, Inc. is seeking a Data Lead Architect to drive data strategy, design scalable pipelines, and ensure HIPAA/CMS regulatory compliance across enterprise data platforms.

The role focuses on transitioning from legacy systems to modern cloud-enabled architectures, building a Medallion Architecture Data Lakehouse with Bronze/Silver/Gold layers on AWS, and developing EDW with Iceberg or Delta Lake while aligning with stakeholders.

Qualifications

• Ten years of IT experience with seven in data engineering or cloud data architecture.
• Two years in a technical leadership role.
• Experience with healthcare data standards and interoperability (EDI X12, FHIR, HL7).

Responsibilities

• Lead and mentor a team of data engineers in scalable data pipelines.
• Architect and implement a Medallion Architecture-based Data Lakehouse.
• Design and develop an EDW on cloud platforms (AWS) using Iceberg or Delta Lake.
• Build Dimensional Data Models using Star and Snowflake schemas.
• Develop ETL/ELT workflows with AWS Glue, Spark, Databricks, and Airflow.
• Ensure HIPAA/CMS compliance via governance, lineage, access controls and encryption.
• Collaborate with stakeholders to align data architecture with goals.

Skills

Data modeling

Cloud data architecture

ETL development

Data governance

HIPAA compliance

Education

Bachelor’s degree in Engineering/CS/Math

Master’s degree preferred

Tools

AWS

Apache Iceberg

Delta Lake

AWS Glue

Apache Spark

Databricks

Airflow

Redshift

Athena

EMR

HealthLake

Lake Formation

Job description

Role -Data Lead Architect (1 position)

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.
• 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.

Global Alliant, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.