Lead Data Architect - Cloud Lakehouse & Healthcare Data

Global Alliant Inc.

United States

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Global Alliant, Inc. seeks a Data Lead Architect to shape enterprise data strategies and implement scalable data pipelines. You will lead a team of data engineers and drive Architecture across EDW and data lakehouse platforms on cloud infrastructure.

The role emphasizes mentoring, governance, and HIPAA/CMS compliance while delivering end-to-end data solutions using Iceberg/Delta Lake, Spark, Databricks, and Airflow in an AWS environment.

Qualifications

  • Bachelor’s degree in Engineering, CS, Math or related field; Master’s preferred.
  • 10+ years IT system design, with 7+ years in data engineering or cloud data architecture.
  • Leadership experience and HIPAA/CMS interoperability knowledge preferred.

Responsibilities

  • Lead and mentor data engineers in scalable data pipelines.
  • Architect Medallion Architecture Data Lakehouse (Bronze/Silver/Gold).
  • Design EDW on cloud platforms (AWS) using Iceberg or Delta Lake.
  • Develop Dimensional Models with Star/Snowflake schemes.
  • Build ETL/ELT workflows with Glue, Spark, Databricks, Airflow.
  • Work with AWS services (Glue, Redshift, Athena, EMR, Lake Formation).
  • Ensure HIPAA and CMS compliance through governance, lineage, and encryption.

Skills

Data Modeling
Medallion Architecture
Cloud Data Architecture
ETL/ELT
Data Governance

Education

Bachelor’s Degree in Engineering/CS/Math
Master’s Degree preferred

Tools

Apache Spark
Databricks
Airflow
AWS Glue
AWS Redshift
Iceberg/Delta Lake

Job description

Global Alliant, Inc. seeks a Data Lead Architect to shape enterprise data strategies and implement scalable data pipelines. You will lead a team of data engineers and drive Architecture across EDW and data lakehouse platforms on cloud infrastructure.

The role emphasizes mentoring, governance, and HIPAA/CMS compliance while delivering end-to-end data solutions using Iceberg/Delta Lake, Spark, Databricks, and Airflow in an AWS environment.

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