Role: Data Architect
Experience: 8-15 Years
Location: Hyderabad | Delhi NCR | Bengaluru | Chennai
· Define enterprise data architecture, cloud platform patterns, integration standards and governance controls.
· Architect governed lake and lakehouse data products for operational intelligence, automation and forecasting.
· Maintain HLD-to-LLD traceability and ensure architecture decisions, risks, build evidence and operational-readiness artefacts are versioned and auditable.
· Design AI-enabled capabilities using suitable GCP services for anomaly triage, capacity forecasting, metadata enrichment, natural-language analysis and operational recommendations.
· Define grounding data, retrieval patterns, prompts and context, evaluation criteria, guardrails, human-in-the-loop controls, monitoring and audit evidence.
· Participate in design reviews, delivery ceremonies, quality gates, risk management and operational handover.
· 8–15 years of data/platform engineering and architecture experience.
· Strong expertise in data architecture, GCP data platforms, data governance, data modelling and integration.
· Hands-on knowledge of BigQuery, Dataflow, Pub/Sub, Dataplex, Dataproc and Cloud Spanner.
· Experience with lakehouse architecture, ETL/ELT, event-driven architecture, Python and data observability.
· Understanding of Vertex AI, Gemini, BigQuery ML, RAG and AI governance principles.
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