T D Newton & Associates
Chief Architect
- Compensation
- Not disclosed
- Location
- Pune; Gurgaon/Gurugram; Bangalore
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Architecture
- Posted
Skills
Full description
Job Description:
Hiring Chief Architect for Pune, Bangalore, and Gurgaon locations.
Experience: 18-25 Years.
Title: Chief Architect - Advisory Digital.
Key Responsibilities:Architecture strategy and roadmap:
- Own target-state enterprise architecture for distributed, cloud-native platforms and products across multiple business units.
- Define and govern reference architectures, blueprints, and standards for multi-tenant SaaS, microservices, and event-driven systems.
- Establish architecture metrics and outcomes tied to business objectives.
Platform engineering and IDP:
- Lead design and rollout of Internal Developer Platforms to standardize golden paths, improve developer experience, and accelerate delivery.
- Define platform SLAs/SLOs, golden templates, and paved roads for services, data, observability, and security.
Cloud architecture and vendor neutrality:
- Architect solutions across AWS, Azure, and GCP with a vendor-neutral mindset.
- Define multi-cloud landing zones, tenancy models, and portability patterns.
Multi-tenant SaaS at scale:
- Design and operate secure, scalable, cost-efficient multi-tenant architectures.
- Establish patterns for regionalization, data residency, and compliance controls.
Security, identity, and compliance by design:
- Embed security and privacy controls into architecture (Zero Trust, IAM, secrets management).
- Partner with security and risk teams to implement governance and continuous compliance automation.
DevSecOps and engineering excellence:
- Drive CI/CD, GitOps, policy-as-code, and SRE practices.
- Introduce AI-driven SDLC accelerators and guardrails.
Integration, APIs, and service connectivity:
- Define API strategy and service connectivity patterns.
- Establish event streaming and data-in-motion patterns.
Data and AI platform architecture:
- Guide modern data architectures and AI/ML platforms for model training, deployment, and monitoring.
- Partner with data and product teams to operationalize ML/GenAI responsibly at scale.
Governance and operating model:
- Lead architecture governance across a matrixed enterprise.
- Build and mentor a high-performing architecture community of practice.