Job Summary:
The Head of Data Architecture is responsible for leading the design and implementation of the enterprise data architecture strategy. This includes defining and maintaining the organization's overall data architecture strategy, developing the data strategy for the enterprise and the various business units across the organization, establishing data standards, defining, and identifying the best tools and technology for Data and Analytics.
This position manages a team of Data Architects and has primary responsibility of defining and delivering on the data strategy. The position engages with multiple business units to understand the various challenges and business strategy, develop the data strategy for the various business units, prototype development frameworks and new technologies, help create solutions to deliver on the data strategy. This position will work closely with the Enterprise Data Engineering, Data Analytics, Enterprise Architecture teams and will work with various stakeholders across IT and the business to help build a forward-looking strategic enterprise data architecture for the firm. This will be a hybrid-based position in our St Petersburg, FL headquarters.
Essential Duties and Responsibilities:
Experience and Skills:
Minimum of a Bachelor%26rsquos degree in Computer Science, MIS or related degree and ten plus (10) years of relevant experience including management or leadership experience or an equivalent combination of education, training and experience.
Experience in working with multiple business units to understand the overall business strategy and developing an Enterprise Data strategy which is aligned to the overall business goals and business strategy.
Experience with a breadth of Data Platforms, Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies.
Strong understanding of modern Data Architectures and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals.
Experience with developing and architecting very large mission critical data platforms which are highly resilient, scalable, and flexible.
Experience in architecting and building could base analytical data platforms (like Data Lakes, Lake Houses, Data Warehouses etc.), analytical tools and platforms.
Experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming.
Experience with developing AI/ML solutions is a plus.
Experience with Search data platforms is a plus.
Expert level experience with AWS Data Platforms is a plus.
Experience or understanding of programming languages like Python, Java, R, Shell, Perl, etc. is a plus.
Financial Services experience is preferred.
Experience in the enterprise implementation, leadership experience, strategic planning, strong business acumen.
Licenses/Certifications:
None required.
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