Cloud Solutions Architect - Data & AI
TECO EnergyAbout the role
Title: Cloud Solutions Architect - Data & AI
Company: Peoples Gas System
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days
WHO WE ARE?
Peoples Gas System is the fastest growing natural gas utility in the Southeast with career opportunities that fit your future. Our organization is diverse – in people, opportunities, and careers. We foster a dynamic and inclusive workplace where safety, innovation and collaboration are at the heart of everything we do.
HOW YOU’LL HELP DRIVE THE FUTURE OF NATURAL GAS?
The Cloud Solutions Architect for Data and AI is responsible for leading the design and creation of a data and AI technology architecture framework and providing technical leadership in support of the organization’s initiatives in AI services and data management by leveraging cloud services, data infrastructure, data analytics, machine learning, AI modeling and emerging data technologies. This Cloud Solutions Architect ensures public and private information and solutions are architected and designed for optimal cost, functionality, efficiency, accessibility, scalability, reliability and resiliency. Responsibilities include the design, implementation and delivery of the organization’s technology, data and AI strategies along with the introduction of emerging technologies, storage, ingestion, processing, management and utilization of cloud, data, and AI services. Architect will work with development teams, affiliates, business owners and other stakeholders to provide architecture leadership and best practices that drive and enable the migration, governance and management of the organization’s data, analytics, predictive modeling and decision-making capabilities.
WHAT YOU NEED TO SUCCEED?
· Bachelor’s degree in Information Technology, Computer Science, Business Administration, Engineering, Mathematics, Information Systems, or related field.
· 7 years of direct work experience performing, or closely related, to the Duties & Responsibilities of this position spanning at least two IT disciplines, including technical architecture, network and storage management, software application solution architecture, design or development, middleware, database management and/or operations.
· 3 years of experience with cloud technologies and platforms such as Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP).
· Deep understanding of cloud computing technologies, business drivers and emerging computing trends.
· Ability to interact with and provide architectural design guidance to project teams made up of employee and/or supplier resources.
· Knowledge and Understanding of Cloud Native Development such as:
o Micro Services architecture.
o Containerization (Kubernetes, Docker etc.).
o Automation Framework and Tools (RPA, Low Code etc.).
· Relevant Design and Development experience.
o Creating Architecture/Design documents (HLD/LLD) with models, system diagrams.
· Hands-on Experience with Azure Cloud platform implementation.
· Excellent listening skills as well as the ability to communicate effectively both verbally and in written form with a wide variety of audiences.
PRIMARY DUTIES & RESPONSIBILITIES
· Cloud Data and AI Architecture Design and Development:
o Manage the development and implementation of technology, data and AI strategies.
o Define cloud standards, DevOps, Continuous Integration / Continuous Delivery (CI/CD) tool chain and Standard Operating Environment (SOE).
o Define, implement, and enforce the cloud standard operating environment, cloud standards, and associated tools/platforms/frameworks for the organization’s application portfolio, in coordination with IT-wide efforts and Technology Architecture and Planning.
o Drive Proof-of-Concepts and implementation, with hands-on involvement as SME, for new SOE items: build deployment automation pipelines, build automated next gen CI/CD pipelines partnering with development teams, build and integrate new technologies like containers enabling multi-cloud and preventing cloud provider lock-in.
o Define and enforce Cloud architecture best practices: availability; redundancy schemes, performance, Disaster Recovery, DB, and Interfacing Systems, etc.
o Develop a library of deployable and documented cloud design patterns, based on the organization’s application portfolio, as a basis for deploying services to the cloud.
o Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation.
o Develop solutions architecture and evaluate architectural alternatives for private, p
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