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# Associate Data Architect I

- **Company:** The Fountain Group
- **Location:** Laguna Beach, CA, United States
- **Experience:** Expert
- **Salary:** $108,160
- **Contract:** Permanent contract
- **Skills:** Training Data, Amazon Web Services, Microsoft Azure, Clinical Data Repository, Clinical Terminology Servers, Data Architecture, Information Engineering, Extract Transform Load (ETL), Machine Learning, Performance Tuning, SQL Databases, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Electronic Medical Records, Data Lakes, Pyspark, Information Technology, Data Lineage, Star Schema, Health Level Seven International, Data Pipelines, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/associate-data-architect-i-aliso-viejo-ca--258230ac-1e21-465e-b17b-62018751f47d

## About the Role

DataArchitect Data Modeling Tool, DataArchitect Data Modeling Tool, Budgeting, Healthcare, Clinical Data, Electronic Medical Records, Snowflake Schema, Clinical Practices/Protocols, Medical Record System, Training Data Sets, Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field., 8+ years of experience in Data Engineering.

 - Strong hands-on experience with Databricks, Snowflake, Apache Spark, PySpark, and SQL.
 - Healthcare clinical data expertise, including EHR/EMR data such as encounters, diagnoses, procedures, laboratory results, and medications.
 - Healthcare data standards: HL7, FHIR, CCD, ICD-10, CPT, LOINC, SNOMED, and RxNorm.
 - Experience developing ETL/ELT pipelines and integrating healthcare data sources.
 - Hands-on experience with Delta Lake and Lakehouse/Medallion architecture (Bronze, Silver, Gold).
 - Experience with clinical data transformation, standardization, mapping, and data quality validation.
 - Knowledge of HIPAA, PHI security, healthcare data governance, and access controls.

Preferred Skills

 - Experience with Databricks Unity Catalog and Databricks Workflows.
 - Azure or AWS cloud data engineering experience.
 - Experience preparing clinical datasets and features for predictive analytics and machine learning.
 - Experience with healthcare use cases such as readmission risk, risk stratification, and care gap analysis.
 - Snowflake and Spark performance optimization, workload monitoring, and cost optimization.
 - Experience with data lineage, reconciliation, exception handling, and production pipeline troubleshooting.
 - Experience coordinating engineering delivery in an onshore-offshore model.

## Description

Seeking an experienced Senior Data Engineer - Healthcare Clinical Data with strong hands-on expertise in Databricks, Snowflake, PySpark/Spark, and healthcare clinical data standards. This is a domain-focused engineering role requiring strong knowledge of healthcare data, including EHR/EMR systems and clinical terminology standards.
The selected candidate will develop and maintain scalable clinical data pipelines, integrate healthcare data sources, and build analytics-ready datasets supporting predictive analytics and machine learning initiatives. The role involves working with client stakeholders, data architects, data science teams, and offshore engineering teams.