Lead Data Integration Engineer

Lead Data Integration Engineer at Raymond James

Are you an expert in MS SQL Server & SSIS development who learned python and cloud engineering to stay ahead of the curve? We are seeking a lead data engineer to maintain and support our critical Pre‑trade clearance system while working on re‑engineering our entire data stack into AWS using python.

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.

Travel:
Less than 25%

• Deep expertise in Microsoft SQL Server, SSIS, and SQL development.
• Strong proficiency in writing and optimizing complex stored procedures, functions, and packages.
• Hands‑on experience with Python for data manipulation, automation, and pipeline development.
• Familiarity with Oracle databases and PL/SQL development is required for cross‑platform data integration.
• Experience in implementing CI/CD pipelines and Dev Ops practices for data solutions.
• Understanding data warehousing concepts, ETL methodologies, and data modeling techniques.
• Experience with Unix and Shell scripting.
• Experience with job scheduler tools such as BMC Control‑M.
• Proven track record working in both waterfall and agile SDLC frameworks.
• Knowledge of the Financial Services industry including middle and back‑office functions.
• Experience in collaborating with business counterparts to understand detailed requirements.
• Excellent verbal and written communication skills.
• Produce and maintain detailed technical documentation for all development efforts.

• MS SQL Server & SQL Proficiency:
  Deep expertise in writing and optimizing complex SQL queries, stored procedures, functions, and triggers.
• SSIS Expertise:
  In-depth knowledge of designing, developing, deploying, and maintaining ETL processes and packages using SQL Server Integration Services (SSIS).
• ETL & Data Warehousing:
  Strong understanding of ETL methodologies, data warehousing concepts (e.g., Kimball methodology, star schemas), and data modeling techniques.
• Performance Tuning:
  Ability to identify, investigate, and resolve database and ETL performance issues.
• Programming
  
  Languages:
  
  Proficiency in additional programming/scripting languages, such as Python or Power Shell/Shell scripting.
• Cloud & Dev Ops (Desired):
  Familiarity with cloud platforms (e.g., Azure Data Factory, AWS Glue, Google Cloud) and experience implementing CI/CD pipelines and Dev Ops practices for data solutions.
• Exposure to streaming technologies such as Kafka is a plus.
• Experience in financial services or enterprise‑scale applications is preferred.
• Excellent communication, analytical, and problem‑solving skills.

Bachelor’s:
Computer and Information Science (Required), High School (HS) (Required)

General Experience - 6 to 10 years

We are an equal opportunity employer and make all employment decisions on the basis of merit and business needs.