Senior Data Engineer - Hybrid Cloud Data Platform Lead

Addison Group; Austin (TX); Hybrid; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Job summary

Addison Group is seeking a Senior Data Engineer in Austin, TX with hybrid work options. The role focuses on designing, building, and supporting modern cloud-based data platforms and analytics solutions, delivering scalable, secure data capabilities, and enabling operational excellence.

Responsibilites include leading technical design, implementing CI/CD, and driving data quality, lineage, and security. Requires 8+ years in data engineering and deep Azure Databricks expertise.

Qualifications

• 8+ years of data engineering or data platform experience.
• Experience designing cloud-based data solutions and large-scale ETL/ELT pipelines.
• Proven leadership in technical initiatives and production delivery.

Responsibilities

• Design, develop, and maintain scalable data pipelines and assets.
• Build data integration across batch, near real-time, and streaming workloads.
• Lead design efforts and guide implementation and deployment.
• Partner with stakeholders to deliver scalable, secure, and governed solutions.
• Develop automation, CI/CD pipelines, and testing frameworks.
• Support observability, reliability, and cost optimization efforts.
• Mentor teammates and contribute to roadmaps and modernization.

Skills

SQL

Python

PySpark

Spark optimization

Delta Lake

Unity Catalog

Databricks Workflows

Data governance

Data modeling

CI/CD practices

Education

Bachelor's degree

Tools

Delta Live Tables

Azure Databricks

CI/CD tooling

Job description

Addison Group is seeking a Senior Data Engineer in Austin, TX with hybrid work options. The role focuses on designing, building, and supporting modern cloud-based data platforms and analytics solutions, delivering scalable, secure data capabilities, and enabling operational excellence.

Responsibilites include leading technical design, implementing CI/CD, and driving data quality, lineage, and security. Requires 8+ years in data engineering and deep Azure Databricks expertise.