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.
About the roleSource: Tata Consultancy Services careers — Read the original posting and apply
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