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Salary
≈ $29k – $53k per year (Estimated)
Location
In office (Delhi)
Seniority
Architect · 8+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Engineer. Skills: Data architect. Experience: 8 - 15 Years. Qualification: Bachelor Of Technology

Role: Data Architect

Experience: 8-15 Years

Location: Hyderabad | Delhi NCR | Bengaluru | Chennai

Key Responsibilities

·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.

Required Skills & Experience

·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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