Software Developer 4

Ll Oefentherapie; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

A global technology leader in Atlanta seeks a Principal Data Engineer to architect and build the next-generation data platform. The role involves designing scalable data pipelines and collaborating on best practices for data architecture. Ideal candidates have 7+ years in data engineering and expertise in cloud data services. Join us if you're passionate about modernizing data solutions and enhancing AI capabilities.

Qualifications

• 7+ years of experience in data engineering.
• Proven expertise in large-scale enterprise data platforms.
• Expertise in building reliable ETL/ELT pipelines.
• Strong programming skills essential.

Responsibilities

• Architect and build foundational components of a data platform.
• Design scalable, high-performance data pipelines.
• Collaborate on data modeling best practices.

Skills

Cloud ecosystem data services

ETL/ELT pipelines

Python

Kafka

Java

Scala

Spark

Databricks

Apache Beam

Airflow

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related discipline

Job description

Overview

As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries.

Required Experience

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
• Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
• Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
• Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
• In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
• Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring.
• Experience in regulated industries and familiarity with relevant compliance standards is a plus.
• Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.