Solution Architect (Hybrid- Midtown- Atlanta, Georgia)
Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
The Solution Architect will support the comprehensive high level architecture, functionality, economics and architecture compliance of solution options for the applications portfolio. In this role, you will develop solution architecture at a project level in collaboration with other architects, global and regional teams and SMEs from business units. You will bring your understanding of both technical and functional design and perspective from all architecture domains and current best practices into the solution design in support of portfolio capabilities.
Key Accountabilities
- Develop and maintain solution architecture by leading solution definition, solution architecture reviews, solutions selection efforts and adherence to architectural processes and team plan and strategy.
- Provide governance, strategic consultation and recommendations for business process design, business intelligence design, software development architecture, application frameworks or interfaces during the design and ongoing care of solutions.
- Partner with business leadership to understand how data will be leveraged as a competitive advantage and promote architectural methods and solutions to enable business value.
- Review new projects and architecture solutions, ensuring they are aligned with the enterprise architecture and meet financial targets.
- Maintain knowledge of industry trends and utilize this knowledge to educate both information technology and the business on opportunities to build better target architectures that support and drive business decisions.
- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
- Other duties as assigned
Qualifications
Minimum Qualifications
- Bachelor’s degree in a related field or equivalent experience
- Minimum of four years of related work experience
- Experience in architecture and collaborating with regional and global project teams to define business requirements and deliver solutions that meet business goals
- Experience in developing integrated solutions involving process, data and technology
- Knowledge and ability to support translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems and estimation of the financial impact of solution architecture alternatives
Preferred Qualifications
- Knowledge of all components of enterprise architecture
- Ability to discern functional and non-functional requirements and applying such through the design of comprehensive data and analytic solution architectures.
- Experience in working with data governance/data quality and data security teams in designing data and analytic solutions ensuring appropriate data quality, governance and security standards are considered.
- Experience in aligning specific solution architectures to broader enterprise standards and architecture roadmap leaning into reusable and extensible engineering patterns
- Experience in defining total cost of ownership (TCO) of the solutions/technological platforms being developed or adopted
- Demonstrated skills in creating technical roadmaps to achieve target state architecture
- Big Data experience in leveraging a variety of cloud technologies to acquire and transform data for real time advanced analytics.
- Strong experience architecting data and analytic solutions with respect to varying levels of data velocity, volume, and structure
- Experience in data engineering practices around data collection, organization, and integration
- Demonstrated skills at data cleansing, data quality assessment, and data management
- Knowledge of optimal computational environment requirements for data processing, data mining and machining
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Equal Opportunity Employer, including Disability/Vet.
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