Principal Architect

Minfy Technologies; New Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Minfy Technologies seeks a highly experienced Solution Architect to lead design and delivery of cloud‑native solutions across IAD and Data/AI programs. Expertise in Azure and GCP is required, with exposure to AWS in multi‑cloud or hybrid environments.

You will translate business objectives into target architectures, guide implementation, ensure non‑functional requirements, and drive measurable outcomes.

Qualifications

• 15–20 years of IT experience with experience as a Solution/Technical Architect on complex programs.
• Strong Azure and GCP depth for app modernization and data/AI solutions; AWS exposure in multi‑cloud.
• Expertise in cloud‑native design, microservices, containers, API mgmt, and event‑driven architectures.
• Data platform experience (lakehouse/warehouse, streaming, governance) and AI/ML lifecycle knowledge.
• DevSecOps and IaC experience: Terraform/Bicep/ARM, CI/CD, observability, SRE practices.
• Excellent stakeholder mgmt, communication, and enterprise‑level presentation skills.

Responsibilities

• Own end‑to‑end solution architecture for large transformation programs.
• Translate business objectives into target architectures and roadmaps.
• Define integration patterns, reference architectures, and ADR governance.
• Guide engineering teams through build, test, deployment, and ops readiness.
• Ensure targets meet NFRs: scalability, security, cost, and compliance.
• Lead GenAI‑enabled capabilities with responsible AI controls.
• Design and govern cloud‑native platforms and data/AI architectures.

Skills

Azure architecture

GCP architecture

AWS exposure

Microservices

Serverless

API management

DevSecOps

IaC

Terraform

Bicep/ARM

CI/CD

Observability

SRE practices

Stakeholder mgmt

Enterprise architecture

Containerization

GenAI capabilities

Education

Bachelor’s/Master’s degree in Computer Science/IT

Tools

Azure DevOps

GitHub Actions

Jenkins

Kubernetes

AKS

GKE

Cloud Functions

BigQuery

Looker

Job description

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.
• 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.
• Architect data ingestion, transformation, and orchestration pipelines with reliability, lineage, and quality controls.
• Lead AI/ML solutioning: model development lifecycle, MLOps, feature stores, model deployment, monitoring, and drift management.
• Enable GenAI workloads: vector search, embeddings, prompt management, RAG pipelines, and evaluation frameworks.
• Define data governance and security: IAM/RBAC, encryption, key management, cataloging, DLP, privacy, and regulatory compliance.
• Compute & Containers: AKS, App Service, Functions, Container Apps.
• AI/ML: Azure Machine Learning, Cognitive Services / Azure AI services, model endpoints, prompt flow (where applicable).
• Security & Governance: Entra ID (Azure AD), Key Vault, Defender for Cloud, Policy, Private Link, Landing Zones.
• Compute & Containers: GKE, Cloud Run, Cloud Functions.
• Data & Analytics: BigQuery, Dataproc, Dataflow, Cloud Storage, Pub/Sub, Looker.
• AI/ML: Vertex AI (training, pipelines, model registry, endpoints), embeddings/vector search patterns.
• Security & Governance: IAM, KMS, VPC Service Controls, Organization policies.
• Core services and architecture: VPC, EC2, S3, IAM, EKS/ECS, Lambda, API Gateway.
• Data/AI exposure: Redshift/Athena/Glue/EMR, SageMaker (or equivalent patterns).
• Multi‑cloud networking and identity considerations (connectivity, IAM federation, governance).

Required Skills & Qualifications

• 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.

Certifications (Preferred)

• Microsoft Certified: Azure Solutions Architect Expert.
• Google Professional Cloud Architect and/or Professional Data Engineer.
• Relevant AI/ML certifications (Azure AI Engineer, Vertex AI, Databricks, etc.).
• AWS Solutions Architect (Associate/Professional) – desirable.

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.

Soft Skills

• Strong consultative mindset with ability to simplify complex technical choices into business outcomes.
• Structured problem‑solving and ability to mentor architects/engineers across teams.
• Ownership, bias for action, and ability to handle ambiguity in large transformation environments.