Design and maintain scalable batch and real-time data pipelines, ETL/ELT workflows, and cloud-native data platforms. Build data lake, warehouse, and lakehouse architectures; implement quality, monitoring, security, and governance standards; and optimize performance and costs. Collaborate with stakeholders, analytics, BI, and AI teams to deliver trusted datasets. Participate in architecture reviews, code reviews, sprint planning, mentoring, documentation, tool evaluation, and proof-of-concept initiatives.