Senior Principal Data Engineer - Cloud Lakehouse & AI-Driven

100 Raymond James & Associates, Inc.; Saint Petersburg (FL); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Raymond James & Associates, Inc. is seeking a highly experienced Principal Data Engineer to lead mission-critical master data platforms and enterprise-scale data platforms.

You will drive the architecture, develop Python-based solutions, and guide teams toward a cloud data lakehouse with medallion patterns while ensuring security, reliability, and performance. The role requires hands-on expertise with Oracle, Redshift, Spark, AWS EMR, and Iceberg, and involves mentoring engineers, shaping data

Qualifications

• 15+ years in engineering with leadership for enterprise data/platforms.
• Hands-on with Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg.
• Experience modernizing to cloud data lakehouse with medallion patterns.
• Strong communication and cross-functional leadership.

Responsibilities

• Define and drive the target-state architecture for enterprise data platforms.
• Provide technical leadership across multiple teams and initiatives.
• Lead design and development of Python applications and data pipelines.
• Oversee data modeling, storage, and access patterns across platforms.
• Architect CI/CD pipelines and DevOps practices for data platforms.
• Drive cloud modernization toward data lakehouse using medallion layers.
• Ensure availability, reliability, and observability of platforms.
• Mentor engineers and promote engineering excellence.

Skills

Python

SQL

Spark

AWS EMR

Data Modeling

Oracle

Leadership

Cloud Architecture

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Jenkins

Kubernetes

Iceberg

Redshift

Job description

Raymond James & Associates, Inc. is seeking a highly experienced Principal Data Engineer to lead mission-critical master data platforms and enterprise-scale data platforms.

You will drive the architecture, develop Python-based solutions, and guide teams toward a cloud data lakehouse with medallion patterns while ensuring security, reliability, and performance. The role requires hands-on expertise with Oracle, Redshift, Spark, AWS EMR, and Iceberg, and involves mentoring engineers, shaping data