Manager, Data Engineering

Key Skills

Data Analytics, Data management, Design, Effective communication skills, ETL frameworks, Leadership Skill, Oracle, Presentation skills, Teamwork

Job Description

The Data Engineering Manager works as part of the Enterprise Data Team and is responsible for developing Data Integration solutions in support of a critical data platform. This person will have strong leadership and management skills while also possessing a solid background in Data Engineering development. This position will have extensive contact with multiple application development teams and other shared services teams. This will be a hybrid-based position in our St Petersburg, FL headquarters.

Essential Duties and Responsibilities:

• Lead a team of dynamic data engineers and analysts.

• Responsible for developing highly optimized low latency Data Integration solutions.
• Be responsible for expanding team’s capabilities, maturing processes, adhering to service level objectives and agreements.
• Manage project activities, and resources.
• Work with our business partners to understand requirements, and deliver IT solutions that meet the business needs while ensuring a pragmatic approach to design.
• Responsible for understanding deeply the end to end data requirements, application and service requirements and designing end to end data solutions.
• Work with other Data Engineers, Development and Production DBA’s as part of Database Design and Development.
• Occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities.

Qualifications

Knowledge, Skills, and Abilities:

Skill in:

• Must have prior experience managing a team.

• Strong technical background with hands-on experience in design and development of industrial scale applications.
• Must have relevant experience in various database platforms, ETL solutions/products, ETL architecture.
• Expert level experience with Oracle/ETL architecture and development.
• Expert level experience in performance optimization of ETL and Oracle – SQL, PLSQL.
• Expert level experience with efficient data integration patterns/technologies.
• Experience in building low latency data integration solutions.
• Experience with Oracle Data Integrator or Informatica is a plus.
• Understanding of Master Data Management (MDM) principles is a plus.

Ability to:

• Ability to adapt and embrace the RJ technology ecosystem to understand architectural dependencies, data flows and integrations between them.

• Ability to adapt and prioritize in a dynamic and fluid environment.
• Strong communication and presentation skills.

Education/Previous Experience:

• Minimum of a Bachelor’s degree in Computer Science, MIS or related degree and seven (7) years of relevant experience including management or leadership experience or an equivalent combination of education, training and experience.

• May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities.
• Financial Services experience highly preferred.