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Senior, specialized cloud and data architecture needs reduce applicant density despite metro location.
Role requires deep cloud/data/AI architecture and consulting experience, limiting cross-industry transferability.
Explicit 10+ years, mandatory architect experience, and specific cloud/data tooling make screening highly stringent.
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Lead end-to-end technical architecture for 2-3 complex client engagements in Cloud & Data Platforms, AI/ML & Agentic Systems, or Observability & Search.
Own architecture documentation including decision records, non-functional requirements (latency, cost, security, scalability), and consulting handover readiness.
Write key reference implementations and unblock engineering teams; also contribute to pre-sales scoping and reusable accelerator development.
10+ years in software/data engineering with at least 3 years in architect/principal/staff-level roles owning systems end-to-end.
Deep expertise in at least one of the following: GCP Cloud & Data stack (BigQuery, LookML, Kubernetes, Dataflow, Pub/Sub), AI/ML & Agentic Systems (LLM applications, RAG, agent orchestration platforms), or Observability & Search (Elasticsearch/OpenSearch cluster design, SIEM).
Location: Chennai, India (Hybrid work model).
Work Experience Required: 10+ years software/data engineering; 3+ years architect-level experience explicitly mentioned.
Experienced architect able to deliver tangible production systems (architecture with executable code).
Comfortable navigating pre-sales and client senior technical discussions, with clear and pragmatic communication skills.
Demonstrated ability to manage multiple concurrent engagements with depth across cloud/data or AI/ML or observability domains in a consulting or partner-led delivery environment.