Corporate Treasury needs to shape cutting-edge data solutions in Azure and elevate its analytics platform to drive better insights and smarter decision-making, using data and technology to address complex treasury challenges.
Requirements
- SQL experience is a must.
- Proven experience in designing, building, and managing large-scale data infrastructure, preferably using cloud platforms such as Azure or Power Automate.
- Hands-on programming experience with Python, R, Java, etc.
- Expertise in data modeling, ETL processes, and building real-time and batch processing pipelines.
- Strong knowledge of database systems and data warehousing solutions.
- Experience working with ERP systems.
- Experience with Treasury Management systems preferred.
- Familiarity with data governance, security, and compliance standards preferred.
Responsibilities
- Design, build, and maintain scalable, reliable, and efficient data pipelines to support real-time and batch processing.
- Lead the development and implementation of data integration processes, leveraging cloud technologies and modern data architecture best practices.
- Champion the adoption of a unified data platform using technologies such as Azure Synapse, Power Automate, or similar.
- Optimize data systems for performance, scalability, and accessibility to meet the needs of diverse stakeholders across multiple business functions.
- Oversee the quality, consistency, and governance of data assets to ensure data integrity and compliance with regulatory requirements.
- Stay abreast of emerging technologies, industry trends, and best practices in data engineering, analytics, and data science.
- Drive experimentation and prototyping efforts to identify innovative solutions and enhance existing data systems.
Other
- Collaborate with cross-functional teams, pioneer emerging technologies, and architect data systems that are vital to business success.
- Align technology and data initiatives to treasury business strategy.
- Act as a liaison between technical teams and business stakeholders, ensuring seamless communication and alignment of priorities.
- Translate complex technical concepts into clear, actionable insights for non-technical audiences.
- Drive collaboration across global teams to implement standardized data engineering practices and solutions.
- The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
