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.

RoleEngineer

Qualifications

BACHELOR OF TECHNOLOGY