Lead Data Engineer — Azure Databricks & Data Platform

Akaasa Technologies; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Akaasa Technologies in Charlotte, NC is seeking a Lead Data Engineer to design and build enterprise data solutions using Azure Databricks, PySpark, SQL and Delta Lake. You will lead a team of data engineers, modernize data platforms, and ensure data quality through scalable pipelines in a healthcare environment.

The role requires 5+ years in data warehousing and ETL/ELT, strong Python and Terraform skills, and excellent communication.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 3+ years of experience with Azure Databricks.
• 5+ years of experience in data warehouse analysis, design, and development.
• Strong knowledge of data warehouse methodologies, data modeling, and operational data stores.
• 5+ years of experience with ETL/ELT development.
• Strong hands-on experience with Python, PySpark, SQL, and Terraform.
• Experience designing and supporting enterprise-scale data pipelines.
• Ability to troubleshoot complex data issues and provide scalable solutions.
• Excellent technical, communication, and collaboration skills.

Responsibilities

• Design and develop enterprise data solutions using Azure Databricks, PySpark, SQL, and Delta Lake.
• Lead a team of data engineers and mentor junior members.
• Build scalable data pipelines and modernize data platforms.
• Ensure data quality and governance in healthcare environment.

Skills

Data warehousing

Data modeling

Team leadership

Communication

ETL/ELT development

Python

PySpark

SQL

Delta Lake

Education

Bachelor's degree

Tools

Azure Databricks

PySpark

Python

SQL

Delta Lake

ETL/ELT

Terraform

Power BI

MicroStrategy

Job description

Akaasa Technologies in Charlotte, NC is seeking a Lead Data Engineer to design and build enterprise data solutions using Azure Databricks, PySpark, SQL and Delta Lake. You will lead a team of data engineers, modernize data platforms, and ensure data quality through scalable pipelines in a healthcare environment.

The role requires 5+ years in data warehousing and ETL/ELT, strong Python and Terraform skills, and excellent communication.