About the role
Role: Google Data Architect
Experience: 8-15 Years
Location: Hyderabad | Delhi NCR | Bengaluru | Chennai
Key Responsibilities·Design GCP-native data platforms using BigQuery, Pub/Sub, Dataflow, Dataproc, Cloud Storage, Cloud Spanner and Dataplex.
·Define batch and streaming data architectures, integration patterns, data models and platform guardrails.
·Optimise BigQuery partitioning, clustering, workload management, reservations, performance and cost.
·Design data integrations for Vertex AI use cases, including grounding, retrieval-augmented generation, vector, graph, geospatial and agent workflows.
·Produce HLDs, LLDs, architecture decision records, non-functional requirements, cost and capacity models, security assessments and implementation standards.
·Partner with engineering and governance teams to ensure solutions are production-ready, observable and auditable.
Required Skills & Experience·8–15 years of data/platform engineering and architecture experience.
·Strong hands-on delivery experience on Google Cloud Platform.
·Expertise in BigQuery, Dataflow, Pub/Sub, Dataplex, Dataproc, Cloud Storage and Cloud Spanner.
·Strong understanding of batch and streaming pipelines, CDC, data observability and cloud security.
·Experience designing integrations for Vertex AI, RAG, vector, graph or geospatial use cases.
Qualifications: BACHELOR OF TECHNOLOGY