Principal Architect
- Compensation
- Not disclosed
- Location
- Delhi, DL, India
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Architecture
- Posted
Skills
Must have
- · Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- · 15–20 years of overall IT experience, with significant experience as a Solution Architect / Technical Architect on complex programs.
- · Strong architecture depth in Azure and GCP for application modernization and data/AI solutions; AWS exposure in multi-cloud environments.
- · Proven expertise in cloud-native design, microservices, containers, serverless, API management, and event-driven architectures.
- · Strong data platform experience (lakehouse/warehouse, streaming, orchestration, governance) and AI/ML lifecycle understanding.
- · DevSecOps and IaC experience: Terraform/Bicep/ARM, CI/CD (Azure DevOps, GitHub Actions, Jenkins), observability (Azure Monitor, Cloud Logging, Prometheus/Grafana).
- · Excellent stakeholder management, communication, and documentation skills; ability to present to enterprise architects and senior leadership.
Nice to have
- · Experience with enterprise architecture frameworks, reusable reference architectures, and architecture governance boards.
- · Hands-on experience implementing GenAI solutions with responsible AI, security, and evaluation best practices.
- · Domain experience in BFSI, retail, manufacturing, healthcare, or public sector transformation programs.
- · Experience with modern integration and messaging platforms (Kafka, Pub/Sub, Event Hubs) and API observability/management.
Full description
Job Description – Solution Architect (Intelligent Application Development & Data/AI)
Location: Delhi NCR | Experience: 15–20 years | Domain: Cloud (Azure/GCP/AWS), Data/AI, Intelligent App Development
Job Summary
We are looking for a highly experienced Solution Architect to lead the design and delivery of modern, cloud-native solutions across Intelligent Application Development (IAD) and Data/AI programs. The role requires deep hands-on architecture expertise on Microsoft Azure and Google Cloud Platform (GCP), with strong exposure to AWS in multi-cloud or hybrid environments. You will collaborate with business stakeholders, engineering teams, and delivery leaders to define target architectures, guide implementation, ensure non-functional requirements, and drive measurable outcomes.
Key Responsibilities
Solution Architecture & Delivery Leadership
· Own end-to-end solution architecture for large-scale transformation programs spanning application modernization and data/AI platforms.
· Translate business objectives into target-state architectures, solution blueprints, and implementation roadmaps (phased, value-driven).
· Define integration patterns and reference architectures for microservices, APIs, event-driven systems, and domain-aligned platforms.
· Lead architecture governance: standards, design reviews, architecture decisions (ADRs), and alignment to enterprise principles.
· Guide engineering teams through build, test, deployment, and operational readiness; unblock teams and manage technical risks.
· Ensure solutions meet NFRs: scalability, performance, resiliency, security, compliance, and cost efficiency (FinOps).
· Partner with program/product leadership to plan milestones, dependencies, and cross-team integration.
Intelligent Application Development (IAD)
· Architect cloud-native applications using modern patterns: microservices, serverless, containers, and event streaming.
· Design API-first platforms (REST/GraphQL), integration using API gateways/service mesh, and secure identity-driven access.
· Define DevSecOps automation: CI/CD, IaC, policy-as-code, testing strategy, observability, and SRE practices.
· Drive modernization initiatives: monolith to microservices, containerization, refactoring, re-platforming, and legacy integration.
· Evaluate and recommend GenAI-enabled application capabilities (assistants, copilots, RAG patterns) with responsible AI controls.
Data, AI/ML & Analytics
· Design modern data architectures: lakehouse/data warehouse, streaming analytics, and governed data products.