Principal Engineer, Data Engineering

Responsibilities

• Define and drive enterprise-level architecture for data platforms, ensuring scalability, reliability, and performance.
• Establish engineering standards, design patterns, and best practices across teams.
• Lead system design for complex, high-impact initiatives across multiple domains.
• Provide technical leadership across multiple teams, not limited to a single project or squad.
• Act as a trusted advisor to leadership on technology strategy, trade-offs, and long-term platform evolution.
• Drive alignment across engineering, data, and platform teams to ensure consistency and reusability.
• Lead the design and development of enterprise-grade Python applications and distributed systems.
• Oversee architecture and implementation of data pipelines, APIs, and large-scale data processing frameworks.
• Ensure solutions are designed with high availability, fault tolerance, and observability.
• Define and enforce data architecture standards for Oracle and other data platforms.
• Lead advanced database optimization strategies, including performance tuning, partitioning, and query optimization.
• Ensure efficient data modeling, storage, and access patterns across platforms.
• Architect and standardize CI/CD pipelines using Jenkins and modern DevOps practices.
• Drive adoption of automation-first principles across build, test, and deployment workflows.
• Promote DevSecOps best practices and governance controls.
• Lead adoption and architecture for Kubernetes-based platforms and containerized applications.
• Influence cloud strategy across AWS/Azure/GCP environments (where applicable).
• Drive platform modernization and cost optimization initiatives.
• Establish frameworks for performance engineering, monitoring, and SLO/SLI definition.
• Lead root cause analysis of critical production issues and define systemic improvements.
• Ensure systems meet enterprise-grade resiliency and recovery requirements.
• Mentor senior engineers and leads, raising the overall technical bar of the organization.
• Drive knowledge sharing, standards adoption, and engineering excellence initiatives.
• Serve as a role model for engineering best practices and problem-solving.
• Collaborate with product, architecture, data governance, and operations teams.
• Contribute to enterprise-wide initiatives such as data governance, platform modernization, and integration strategies.
• Influence prioritization and decision-making at the program and portfolio level.
• Define standards for technical documentation, architecture reviews, and design governance.
• Ensure compliance with enterprise policies, data governance, and security standards.

Requirements

Expert-level proficiency in Python, Oracle database development, and distributed systems design.

Deep expertise in CI/CD (Jenkins), Kubernetes, and containerization.

Strong experience with data engineering, large-scale data processing, and data pipelines.

Advanced knowledge of database performance optimization and data modeling.

Strong understanding of cloud platforms (AWS/Azure/GCP) and modern architecture patterns.

Experience in enterprise architecture, system integration, and platform engineering.

Qualifications

Bachelor’s: Business Administration, Bachelor’s: Computer and Information Science, Bachelor’s: Computer Engineering.

More than 15 years of general experience.

Relevant certifications in cloud, Kubernetes, database technologies, or DevOps tools.

Skills

Strategic thinker with ability to connect technical decisions to business outcomes.

Exceptional problem-solving and system-level thinking.

Excellent communication skills, including ability to engage with senior leadership and stakeholders.

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• Critical Illness Insurance and Accident Insurance
• Disability Benefits
• Retail Savings
• Paid Time Off (including vacation, holidays, and sick leave)
• Parental Leave

Company Culture

At Raymond James, our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence, and a conservative, long-term view. We expect our associates at all levels to grow professionally and inspire others to do the same.

We are an equal opportunity employer and make all employment decisions on the basis of merit and business needs. We honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates.