Collaborate with functional analysts to convert business requirements into scalable data engineering and GenAI-ready pipelines.
Collaborate with the Scrum Master on product backlogs and support sprint planning and delivery.
Build, test, and optimize data pipelines and feature stores for various use cases, including real-time, batch processing, and Generative AI/ML workloads.
Support the evolution of Enterprise Data Platform (EDP) architecture and participate in roadmap activities related to data, analytics, and AI platform initiatives.
Collaborate with leadership and partners to ensure high-quality, governed data across DWH, AWS, and AI/ML consumption layers for BI, analytics, and GenAI use cases.
Provide hands-on technical guidance and oversight across multiple data and AI-driven projects.
Identify potential risks related to data quality, model inputs, and AI outputs, and work with partners to define mitigation strategies.
Actively support and contribute to development activities in data engineering and GenAI enablement, ensuring bandwidth and technical direction when needed.
Implement and follow Agile development methodologies, adhering to DevOps, DataOps, and MLOps/LLMOps best practices.
Ensure teams follow prescribed development processes, coding standards, and architectural patterns.