• Design and build scalable infrastructure for GTM Store and ZDP with sub-second query latency. • Architect and implement metadata-driven GraphQL APIs for dynamic schema generation and query federation. • Develop asynchronous secondary indexing systems for scaling capacity and reducing primary data store load. • Design real-time analytics streaming data pipelines from BigTable to BigQuery. • Develop data mutation and deletion frameworks supporting GDPR compliance and schema evolution. • Implement CDC pipelines and calculated field processing for derived data views. • Build observability and monitoring solutions for real-time issue diagnosis across distributed data systems. • Create batch and streaming data processing workflows for complex relationships at scale. • Collaborate with engineering leaders and product managers to define the technical roadmap. • Mentor engineers and establish best practices for cloud-native data infrastructure development. • Partner with cross-functional teams to address data platform requirements and challenges. • Drive solutions for data freshness, query performance, and system reliability challenges.