IN_Senior Manager_Cloud Solution Architect _One Cloud_Advisory_PAN India
Compensation
Not disclosed
Location
Mumbai, Maharashtra, India
Work setup
Not specified
Seniority
Senior
Employment
Not specified
Experience
18+ years
Category
Architecture
Posted
Skills
agentic-ai
ai
analytics
angular
ansible
api
automation
aws
azure
ci-cd
citrix
cloud
cloud-native
containerization
cyberark
data-engineering
data-ingestion
data-lake
data-pipelines
data-warehousing
devsecops
django
docker
elk
elt
etl
event-driven-architecture
flask
fortinet
gcp
gdpr
generative-ai
git
grafana
hipaa
iam
infrastructure-as-code
itsm
java
jenkins
jira
kubernetes
lakehouse
logstash
machine-learning
microservices
network-security
networking
newrelic
nodejs
observability
openshift
openstack
pci-dss
pre-sales
prometheus
puppet
python
rest
secrets-management
servicenow
soa
solution-design
splunk
sso
stakeholder-management
togaf
vault
virtualization
vmware
vulnerability-management
Full description
**Job Description & Summary: **We are looking for an experienced Cloud/Data Solution Architect to lead the design, development, and delivery of complex enterprise cloud and data solutions. The ideal candidate will have deep expertise in hybrid cloud, multi-cloud architecture, data platforms, application modernization, DevSecOps, microservices, security, compliance, and enterprise integration.
The role requires strong consulting, architecture, and leadership capabilities, with the ability to engage senior stakeholders, define target-state architectures, create solution roadmaps, and oversee implementation across infrastructure, applications, data, and security layers.
Job Position Title:
IN_Senior Manager_Cloud Solution Architect _One Cloud_Advisory_PAN India
Responsibilities:
Cloud & Enterprise Architecture
Design end-to-end cloud, data,
and platform architectures for enterprise-scale transformation programs.
Define current-state and
target-state architectures across infrastructure, applications, integration, data, and security domains.
Lead architecture assessments for
cloud readiness, application modernization, platform migration, and data transformation.
Develop hybrid and multi-cloud
strategies across public cloud, private cloud, and on-premises environments.
Create architecture artifacts
including HLD, LLD, solution blueprints, migration plans, reference architectures, and deployment patterns.
Drive adoption of cloud-native
design principles, microservices, containerization, API-led architecture, and automation.
Data Architecture & Platforms
Architect scalable and secure
data platforms for analytics, reporting, AI/ML, and enterprise data integration use cases.
Design data ingestion,
processing, storage, governance, and consumption layers using modern cloud data services.
Define data architecture patterns
including data lake, data warehouse, lakehouse, streaming, batch
IN_Senior Manager_Cloud Solution Architect _One Cloud_Advisory_PAN India at PwC India (Mumbai, Maharashtra, India) — aijobsearch
processing, and API-based data access.
Collaborate with business, data
engineering, analytics, and security teams to build reliable and compliant data solutions.
Support data migration,
modernization, and integration initiatives across legacy and cloud-native platforms.
Cloud Migration & Modernization
Lead large-scale cloud migration
and modernization initiatives across applications, infrastructure, services, and data.
Define migration strategies such
as rehost, replatform, refactor, rebuild, retire, and retain.
Design migration factory
models, assessment frameworks, landing zones, and operational readiness plans.
Support modernization of
monolithic applications into microservices and containerized workloads.
Architect disaster recovery, high
availability, backup, and business continuity solutions for mission-critical platforms.
DevSecOps, Automation & Platform Engineering
Define DevSecOps architecture
and automation strategy across CI/CD, infrastructure as code, observability, configuration management, and release management.
Design container platforms using
technologies such as Docker, Kubernetes, OpenShift, or equivalent orchestration platforms.
Implement automation-first
approaches for provisioning, monitoring, patching, security, compliance, and day-2 operations.
Establish deployment strategies
such as blue-green deployment, canary releases, and zero-downtime deployment models.
Work with engineering teams to
embed security, compliance, and quality gates into delivery pipelines.
Security, Compliance & Governance
Design secure cloud and data
architectures aligned with enterprise security standards and regulatory requirements.
Ensure solutions address identity
and access management, encryption, network security, secrets management, logging, monitoring, and auditability.
Support compliance requirements
such as GDPR, PCI DSS, HIPAA, FDA, PSD2, or other industry-specific standards.
Collaborate with risk, audit,
security, and infrastructure teams to support internal and external audits.
Define governance models for
cloud adoption, cost optimization, security posture, and operational excellence.
Stakeholder & Delivery Leadership
Engage with business leaders,
technology stakeholders, architects, engineering teams, vendors, and client leadership.
Translate business requirements
into scalable, secure, and cost-effective technical solutions.
Support pre-sales and consulting
activities including RFP responses, solution proposals, SOW creation, effort estimation, and technical presentations.
Provide technical leadership and
mentoring to architects, engineers, and delivery teams.
Oversee solution implementation
to ensure alignment with architecture, timelines, quality, and business outcomes.
**Mandatory skill sets:Cloud & Infrastructure **· Strong experience with one or more hyperscalers: AWS, Microsoft Azure, Google Cloud Platform, or enterprise private cloud platforms.
· Experience designing hybrid cloud, multi-cloud, and private cloud solutions.
· Knowledge of cloud landing zones, networking, storage, compute, identity, security, monitoring, and cost optimization.
· Experience with virtualization and cloud platforms such as VMware, OpenStack, KVM, Citrix, or equivalent technologies.
Data & Analytics
· Experience architecting enterprise data platforms, data lakes, warehouses, or lakehouse architectures.
· Understanding of data integration, ETL/ELT, batch and real-time data pipelines, metadata, lineage, and governance.
· Knowledge of cloud-native data services, databases, object storage, analytics platforms, and AI/ML enablement.
· Ability to define data modernization and migration strategies.
Application & Integration Architecture
· Strong knowledge of application modernization, microservices, REST APIs, SOA, event-driven architecture, and integration patterns.
· Experience with programming or application development using technologies such as Python, Java, Node.js, Flask, Django, Angular, RESTful APIs, or equivalent.
· Understanding of web technologies, API gateways, service mesh, and enterprise integration patterns.
**DevSecOps & Tools **· Hands-on or architectural experience with Docker, Kubernetes, Jenkins, Git, GoCD, Ansible, Chef, and Puppet.
· Experience with observability and monitoring tools such as Prometheus, Grafana, Splunk, ELK, Logstash, Fluentd, and New Relic.
· Familiarity with ServiceNow, Jira, monitoring, logging, ticketing, and ITSM platforms.
· Experience designing CI/CD pipelines and automated deployment models.
· Knowledge of infrastructure as code and configuration management practices.
**Security & Compliance **· Experience with IAM, MFA, SSO, secrets management, vulnerability management, encryption, and network security.
· Familiarity with tools and platforms such as CyberArk, HashiCorp Vault, FortiGate, NetScaler, or equivalent.
· Understanding of security and compliance frameworks including GDPR, PCI DSS, HIPAA, FDA, PSD2, or similar.
**Preferred skill sets: **
Bachelor’s
or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
Cloud
certifications such as AWS Solutions Architect, Microsoft Azure Solutions Architect, Google Professional Cloud Architect, or equivalent.
Kubernetes
/ CNCF certifications or TOGAF / enterprise architecture certifications are preferred.
Experience
in consulting, client-facing solution architecture, or technology advisory roles.
Experience
working in regulated industries such as banking, healthcare, life sciences, telecom, or large enterprise environments.
Exposure
to AI/ML, GenAI, agentic AI platforms, or AI-enabled enterprise solutions would be an advantage.
Key Competencies
Enterprise
architecture thinking and strong solution design capability.
Strong
problem-solving and analytical skills.
Ability
to simplify complex technology landscapes.
Excellent
stakeholder management and communication skills.
Strong
documentation and presentation skills.
Leadership
across architecture, engineering, and delivery teams.
Ability
to work in fast-paced, complex, and globally distributed environments.
Strong
focus on security, scalability, reliability, and operational excellence.
Expected Outcomes
Deliver
scalable, secure, and future-ready cloud and data architectures.
Drive
cloud migration, modernization, and data transformation programs.
Improve
application resilience, platform reliability, and operational efficiency.
Enable
automation, DevSecOps, governance, and compliance across technology landscapes.
Support
business growth through strong solutioning, consulting, and technical leadership.