Development Expert - Analytics Architect

SAP Ariba is seeking a highly skilled Analytics Architect to drive the success of our advanced analytics-based applications. In this role, you will be responsible for defining the architecture, strategy, and technical vision for next-generation analytics solutions that are scalable, intelligent, and highly interactive .

You will collaborate closely with:

• Product Managers to translate business requirements into technical solutions.
• Engineering Teams to architect, design, and oversee implementation.
• Senior Engineers to mentor and guide them in building innovative analytics-driven applications.

• Architect, design, and implement end-to-end analytics solutions that enable data-driven decision-making.
• Develop high-performance, scalable data management and analytics architectures.
• Integrate modern data engineering and analytics technologies into existing systems.
• Establish best practices for data modeling, data mining, and real-time analytics .
• Lead the development of custom analytics applications and AI-driven insights .
• Work with cross-functional teams to ensure seamless data integration and governance.
• Define and implement disaster recovery and high-availability strategies.
• Continuously evaluate and recommend improvements to enhance data reliability, performance, and quality .

• Bachelor s/Master s degree in Computer Science, Engineering, or a related field .
• 15+ years of professional experience in product development, analytics, and architecture .
• Strong ability to work in an agile environment and cross-functional global teams.
• Excellent communication, presentation, and strategic thinking skills.
• Proven expertise in translating complex technical concepts into business-friendly insights .

• Proficiency in Java, Python, Scala, or GoLang for analytics and data-driven application development.
• Expertise in SAP HANA and cloud environments (AWS, Kubernetes, GCP, or Azure) .
• Strong knowledge of AI/ML models , including large language models (LLMs).
• Deep understanding of data structures, algorithms, design patterns, and OOAD .
• Hands-on experience with Relational and Non-relational databases .
• Expertise in data pipelines, job scheduling, and ETL frameworks .
• Experience working with Big Data ecosystems (Spark, Hive, Hadoop) is a plus.

• Strong background in API development and procurement business processes .
• Knowledge of data security, compliance, and governance best practices .
• Ability to drive innovation and continuous improvement in analytics architecture.
• Self-driven, highly motivated, and a passion for solving complex data challenges .