Principal Engineer, Data Engineering

** This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.*
* ** _

Please note:

This role is not eligible for Work Visa sponsorship, either currently or in the future._*
* ** Responsibilities*
* ** Technical Strategy & Architecture*
* + 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.

** Engineering Leadership*
* + 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.

** Solution Design & Development*
* + 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.

** Data & Database Engineering*
* + 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.

** CI/CD & Platform Engineering*
* + Architect and standardize CI/CD pipelines using Jenkins and modern Dev Ops practices.

+ Drive adoption of automation-first principles across build, test, and deployment workflows.

+ Promote Dev Sec Ops  best practices and governance controls.

** Cloud & Containerization*
* + 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.

** Performance, Reliability & Scalability*
* + 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.

** Mentorship & Talent Development*
* + 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.

** Cross-Functional Influence*
* + 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.

** Documentation & Governance*
* + Define standards for technical documentation, architecture reviews, and design governance.

+ Ensure compliance with enterprise policies, data governance, and security standards.

** Technical Skills*
* + 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

** Leadership & Behavioral Competencies*
* + Strategic thinker with ability to connect technical decisions to business outcomes

+ Strong influence skills across teams without direct authority

+ Exceptional problem-solving and system-level thinking

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

** Preferred Qualifications*
* + Experience in Agile/Scrum at scale (SAFe or similar frameworks)

+ Background in enterprise data platforms, data governance, or financial systems

+ Relevant certifications in cloud, Kubernetes, database technologies, or Dev Ops tools