Sr Cloud Data Engineer (AWS)

Overview

On Site
Full Time

Skills

Finance
Regulatory Reporting
Risk Management
Cloud Computing
Amazon Web Services
Testing
Streaming
Amazon S3
Change Data Capture
Apache Kafka
JDBC
Continuous Integration
Continuous Delivery
Microsoft Azure
DevOps
Regulatory Compliance
Market Risk
Relational Databases
Oracle
Amazon SageMaker
Amazon Redshift
Advanced Analytics
Artificial Intelligence
Science
Computer Engineering
Data Science
Collaboration
Expect
Accountability
SAP BASIS

Job Details

Job Description Summary
We are looking for a Lead Cloud Data Engineer (AWS) - Financial Risk Transformation
We're modernizing our risk data platform to deliver trusted insights for regulatory reporting and enterprise risk management. As a Lead Cloud Data Engineer, you'll architect and deliver AWS-native pipelines aligned to the Medallion Architecture (Bronze/Silver/Gold).
Typically works under the direction of a Lead Developer. Likely to involve working closely with business analysts to ensure requirements are clear and well understood, with other developers to ensure the approach and code can be integrated, and with the application software testers to support their testing plans and resolve bugs.

Job Description

This position follows our hybrid workstyle policy: Expected to be in a Raymond James office location a minimum of 10-12 days a month.

Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Responsibilities and Skills Needed

  • Build batch & streaming pipelines using Glue, Glue Streaming, Lambda, S3, Athena, Iceberg
  • Enable CDC ingestion with Kafka topics and JDBC connectors
  • Optimize Iceberg tables and Athena queries for performance
  • Drive CI/CD automation with Azure DevOps
  • Collaborate with Risk, Compliance, and Governance teams
  • Apply domain expertise in Market Risk and XVA processing to ensure accurate and timely risk calculations
  • Work with relational databases like Oracle and MSSQL for upstream and downstream integration
  • Nice-to-have: Experience with AWS SageMaker, Bedrock, and Redshift for advanced analytics and AI-driven insights

Education
Bachelor's: Computer and Information Science, Bachelor's: Computer Engineering, Bachelor's: Data Science

Work Experience
General Experience - 3 to 6 years

Certifications

Travel
Less than 25%

Workstyle
Hybrid

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.