Title: Senior Data Engineer Location: Atlanta, Georgia, United States Job Description: Who are we? Optimized Payments is the only fintech firm purpose-built to find and unlock value wherever it resides in our portfolio’s payment ecosystem. We’ve assembled a team with deep expertise across payments specialties to develop a proprietary analytics platform that finds actionable insights. We are an Atlanta based 17-year-old, and growing, company looking for talented individuals who want to grow with us. Our client portfolio includes Fortune 500 firms such as Apple, Staples, Safeway, Priceline, AutoNation, and the U.S. Postal Service. - Deliver robust, secure, and scalable data solutions for credit card payments industry. - Assess merchants’ reporting needs and database infrastructure requirements. - Develop and maintain automation systems through scalable, API-driven, cloud-native microservices integrated with enterprise-grade monitoring and infrastructure management. - Automate data ingestion, transformation, and export workflows and integrate with client delivery systems. - Implement batch processing solutions to handle large volumes of data efficiently. - Participate in code reviews and ensure adherence to best practices. - Troubleshoot, debug, and resolve issues in a timely manner. Requirements: - Position requires a Master of Science degree in software engineering or systems & software, and a minimum of 18 months of experience as software or data engineer developing secure data workflows and reporting solutions for the payments industry. - Experience must include 18 months of backend development using Java and Spring Boot, automation on MS Azure platforms, Docker, Kubernetes and data optimizations using Snowflake and PostgreSQL. What we offer: For Full-time Optimized Payments employees, we’re offering the following benefits and perks - Competitive salary and benefits package. - Stock Options - 401(K) Plan - Generous PTO + Paid Holidays - Opportunity to be part of a dynamic, fast-growing company that will double in size in two years. - Hybrid work environment with flexibility to work from home 3 days a week. - A collaborative and inclusive company culture where your ideas are valued. - Free onsite covered parking and access to a full gym with showers. Employment Equity Optimized Payments strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by provincial and/or federal law. Accommodations for candidates with disabilities are available on request during all aspects of the recruitment and selection process. If accommodation is needed during the recruitment and selection process, please contact us and we will work with you to meet your accessibility needs.

Title: Principal Engineer, Data Engineering Location: FL - Saint Petersburg - 880 Carillon Pkwy Tower 1 Job Description: Job Description Summary We are seeking a highly experienced and visionary Principal Engineer to provide technical leadership and drive architectural excellence across our enterprise data platforms. This role requires deep expertise in Python, Oracle database development, CI/CD, Kubernetes, and large-scale data systems, along with the ability to influence cross-functional teams and shape long-term engineering strategy. As a Principal Engineer, you will act as a technical authority and thought leader, responsible for defining architecture standards, driving innovation, ensuring scalability and performance, and mentoring engineering teams. You will partner closely with leadership, product, and operations teams to deliver strategic solutions aligned with enterprise goals. 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 - 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 DevOps practices. - Drive adoption of automation-first principles across build, test, and deployment workflows. - Promote DevSecOps 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 DevOps tools Education Bachelor’s: Business Administration, Bachelor’s: Computer and Information Science (Required), Bachelor’s: Computer Engineering Work Experience General Experience - More than 15 years Certifications Travel Less than 25% Workstyle Hybrid The total compensation for this position includes base salary orwages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com. 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 • Work with and through others to achieve desired outcomes • Make prompt, pragmatic choices and act with the client in mind • Take ownership and hold themselves and others accountable for delivering results that matter • Contribute to the continuous evolution of the firm At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs. #LI-SA1

• Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks. • Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language. • Integrate LLMs into data workflows for automation and intelligence • Develop scalable data models to support analytics and AI use cases • Implement AI-driven enhancements such as anomaly detection and data enrichment • Collaborate with data, analytics, and engineering teams to improve data reliability • Optimize performance and scalability of data and AI workflows • Support automation through CI/CD practices • Ensure data quality, traceability, and maintainability across pipelines

• Act as a technical advisor for the integration between Databricks and data privacy/governance tools. • Support the configuration of connectivity, access permissions, metadata, and security requirements within Databricks. • Guide and validate data discovery, classification, and scanning processes across the Data Lake. • Provide expertise on Databricks data structures, access patterns, and security models. • Collaborate with engineering and business teams to ensure data integrity, usability, and compliance. • Document data architectures, workflows, and technical processes. • Support troubleshooting and provide technical guidance on data-related challenges. • Contribute to Data Lake and Data Warehouse architecture discussions and best practices.