Principal Data Engineer

Job Description Summary We are seeking a highly experienced Principal Data Engineer to provide technical leadership for mission-critical Security/Product Master Data Platforms and other enterprise-scale data platforms that support the entire enterprise. This role requires deep data engineering expertise, strong database and platform engineering skills, hands-on experience with Oracle, Redshift, Python, Spark, Glue, AWS EMR, and Iceberg, and proficiency using AI to improve engineering productivity, solution quality, and delivery velocity. The candidate will be expected to lead modernization of enterprise data capabilities toward cloud data lakehouse and medallion architecture while maintaining operational stability, resiliency, performance, security, and enterprise availability. As a Principal Engineer, you will act as the technical authority for enterprise-wide platforms that manage and distribute critical security, product, and other high-value enterprise data used across business, operations, analytics, regulatory, and downstream application capabilities. The ideal candidate combines strong functional understanding of master data and enterprise data domains with hands-on engineering depth, AI-enabled engineering practices, and experience transitioning legacy or operational data platforms toward a modern cloud data lakehouse architecture using medallion patterns. Job Description 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 Master Data Platforms and other enterprise-scale data platforms, ensuring scalability, reliability, availability, performance, and enterprise-wide reuse. Establish engineering standards, data architecture patterns, integration patterns Define and drive the target-state architecture for enterprise Security/Product , and design principles for mission-critical master data and enterprise-scale data platforms. Lead system design and modernization roadmaps for high-impact initiatives across security, product, master data, and other enterprise-scale data 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 Lead end-to-end engineering ownership for mission-critical database and master data platforms, including development, support, maintenance, lifecycle management, performance, reliability, and operational excellence. Apply advanced database optimization strategies across Oracle and related platforms, including performance tuning, partitioning, query optimization, resiliency, recoverability, and scalability. Ensure efficient data modeling, storage, and access patterns across platforms. Apply hands-on expertise in Oracle/ODI, Python, Spark, AWS EMR, Redshift, S3, and Iceberg to design, build, and modernize enterprise data platforms. Lead transition of legacy and operational master data capabilities toward modern cloud data lakehouse architecture using S3, Iceberg, Redshift, and medallion patterns for ingestion, transformation, curation, quality, and governed consumption. Data Understanding Strong functional and data understanding of Security/Product Master Data Platforms is required, including how enterprise master data is modeled, governed, integrated, consumed, and supported. Must have experience across core enterprise data domains, including Clients, Accounts, Assets and Liabilities, Trades and Activities, Security/Product Master, with particular depth in Security/Product Master Data. Must have hands-on experience working with master data platforms supporting these domains, including business meaning, reference data, data lineage, data quality, integration, stewardship, downstream consumption, and operational support patterns. Ability to partner with business, architecture, governance, operations, and application teams to translate functional data needs into durable platform capabilities and reusable data products. CI/CD & Platform Engineering 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. Cloud & Containerization Lead cloud modernization of enterprise master data capabilities, including transition to cloud data lakehouse architecture and medallion-based bronze, silver, and gold data layers. Influence AWS-based data architecture decisions, including appropriate use of Spark, AWS EMR, cloud storage, orchestration, data quality controls, and scalable consumption patterns. Drive modernization while preserving operational continuity, enterprise availability, data trust, cost discipline, security, and compliance expectations. Performance, Reliability & Scalability Establish frameworks for performance engineering, observability, monitoring, SLAs, SLOs, SLIs, and operational readiness for enterprise-wide master data platforms. Lead root cause analysis of critical production issues and define systemic improvements across platform reliability, data quality, resiliency, recovery, and downstream dependency management. Ensure the