Senior Manager, IT Architecture
Posted on Sep 28, 2021 by Raymond James Financial Inc.
This position manages a critical Enterprise Data Engineering team and has primary responsibility of building Enterprise class Data Integration solutions and other critical data engineering capabilities. This position is responsible for defining best practices around enterprise class data platforms and developing core data engineering capabilities. This role will require extensive contact with all management levels and other internal customers and is required to identify, research, analyze and resolve complex information technology issues.
Manages a team of Data Engineers responsible for building solutions which are flexible, performant and scalable. Incumbents must have in-depth knowledge of data management and data integration. This role will be based out of our headquarters in St. Petersburg, FL or out of our Technology center in Denver, CO. We are open to remote candidates that are based out of other locations in the U.S as well.
Essential Duties and Responsibilities:
Manages a Data Engineering team and is responsible for the delivery of a next gen Data Platform.
Collaborates with multiple teams, understands the overall enterprise Data Architecture and executes on delivering critical Data Engineering capabilities.
Helps the team by being hands on as needed. Expectation is that the manager is very technical and has a breadth of experience in various Data initiatives.
Leads projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget.
Focus on designing and developing highly scalable, efficient and reliable data infrastructure to scale and compute to meet business objectives.
Drives IT solutions to ensure they meet the business needs balanced with a pragmatic and integrated approach to the design of technical solutions.
Focuses on workforce development and ensures that a strong team is built.
Remains up to date on key technology, business and industry trends.
Performs other duties and responsibilities as assigned.
Qualifications and Skills:
Minimum of a Bachelor's degree in Computer Science, MIS or related degree and ten (10) years of relevant experience including management or leadership experience or an equivalent combination of education, training and experience.
Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies.
Strong understanding of Data Architecture and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals.
Expert/Advanced level experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming.
Experience with building a Data Platform to support a Data Science team/platform.
Expert Level experience with Oracle as a Database Platform.
Strong in SQL, PLSQL optimization and development.
Experience or understanding of programming languages like Python, Java, R, Shell, Perl etc.
Financial Services experience highly preferred.
Experience in the enterprise implementation, leadership experience, strategic planning, and strong business acumen.
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