Raymond James - St. Petersburg, FL

posted 4 months ago

Full-time - Mid Level
St. Petersburg, FL
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Senior Data Engineer position at Raymond James is a pivotal role within the Enterprise Data Team, focusing on the development of Data Integration solutions that support a critical data platform. This role is integral to the company's mission of creating a leading Wealth Management Platform. The selected candidate will engage extensively with various application development teams and shared services teams, ensuring that data integration processes are efficient and effective. In this role, the Senior Data Engineer will be responsible for building scalable and reliable Data Integration solutions that are not only flexible but also elastic to adapt to changing business needs. The engineer will develop low latency Data Integration solutions that enable near real-time data provisioning for multiple consumers, ensuring that the data is readily available for decision-making processes. Collaboration is key in this position, as the engineer will work closely with Data Engineers, Data Architects, and Service developers to create optimal and efficient ETL and Database code. The Senior Data Engineer will also focus on designing, building, and launching a robust data infrastructure that can scale and compute effectively to meet the strategic business objectives of the organization. This includes contributing to the successful completion of projects as defined by predetermined success criteria, which encompass business requirements, capital expenditure, and budget constraints. Additionally, the engineer will act as an Application Support specialist for critical production applications, optimizing batch flows to meet defined Service Level Agreements (SLAs). The role may also involve performing other duties and responsibilities as assigned, contributing to the overall success of the data initiatives at Raymond James.

Responsibilities

  • Build scalable and reliable Data Integration solutions that are flexible, scalable, and elastic.
  • Develop low latency Data Integration solutions to provision data near real-time for multiple consumers.
  • Collaborate with Data Engineers, Data Architects, and Service developers to build optimal and efficient ETL and Database code.
  • Produce dynamic, data-driven solutions to support strategic business goals.
  • Design, build, and launch efficient and reliable data infrastructure to scale and compute to meet business objectives.
  • Contribute to the successful completion of projects as defined by predetermined project success criteria, including business, capital expenditure, and budget requirements.
  • Act as an Application Support specialist for critical production applications and optimize batch flow to meet defined SLAs.
  • Perform other duties and responsibilities as assigned.

Requirements

  • Proven experience in ETL development and data integration solutions.
  • Strong knowledge of Oracle Data Integrator (ODI) and Oracle databases.
  • Experience with low latency data provisioning and real-time data integration.
  • Ability to collaborate effectively with cross-functional teams including Data Engineers and Data Architects.
  • Strong problem-solving skills and the ability to produce dynamic, data-driven solutions.
  • Experience in designing and building scalable data infrastructure.

Nice-to-haves

  • Familiarity with cloud-based data solutions and architectures.
  • Experience in the financial services industry, particularly in wealth management.
  • Knowledge of data governance and data quality best practices.

Benefits

  • Hybrid work model with in-office requirements.
  • Access to professional development opportunities.
  • Collaborative work environment with cross-functional teams.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service