1,252 Azure Architect jobs in India

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About the Company

Looking for candidate who have initally working as a dot net developer and then work as a azure arctitect looking for candidate who have more than 10 years of experience for hyderabad location.

About the Role

Looking for candidate who have ititally working as a dot net developer and then work as a azure arctitect looking for candidate who have more than 10 years of experience for hyderabad location.

Responsibilities

• Looking for candidate who have ititally working as a dot net developer.
• Then work as a azure arctitect.
• Looking for candidate who have more than 10 years of experience.
• For hyderabad location.

Qualifications

• More than 10 years of experience.

Required Skills

• Dot net development.
• Azure architecture.

Preferred Skills

• Experience in Hyderabad location.

Pay range and compensation package

Not specified.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Strong in Windows Admin (IIS, AD, PowerShell, Group Policy)

Azure Infra & Terraform expertise

CI/CD with GitHub Actions, GitOps

Observability tools Grafana, Datadog, Azure Monitor

Incident Mgmt with Jira SM & SOPs

Cloud migrations VMware/AWS Azure

Required Candidate profile

9+ yrs Windows Admin (IIS, PowerShell, AD, GPO) | Strong in Azure & Terraform | GitHub CI/CD | .NET deployments, Observability, Incident Mgmt | Multi-cloud (AWS/GCP) a plus

We have immediate opportunity with one of our MNC client for below position.

Kindly find the details below for your reference.

Title: Azure Cloud Infra Architect

Location: Bangalore, Hyderabad, Noida, Pune

Experience: 14 – 20 years

Notice period: Immediate - 60 Days

Skills Required:

• Must have at least 1 Azure certification (Administrator, Developer or Architect)
• Must have 5+ experience in Cloud and Data center migration project as solution architect
• Must have in-depth understanding of compute, storage, network components including backup, monitoring and DR environment requirements
• Experience and understanding of large-scale applications portfolio in enterprise-wide environment (including migration of on-premise workloads to the cloud) required;
• Deep domain expertise of cloud application development solutions (e.g. IaaS, Serverless, API Management), container orchestration (e.g. Kubernetes, Cloud Foundry), continuous integration technologies (e.g. Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet), web application server technologies, cloud application design, software architecture and practices (design/development/deployment, Agile, SCRUM, ALM), breadth of technical experience, and technical aptitude to learn and adjust to new technologies and cloud trends required;
• Experience and understanding of large-scale application development projects (including key coding skills and practices) required;

Responsibilities

• Candidate must have demonstrated experience of migrating solutions to the Azure cloud platform
• Access, analyze current infrastructure footprint (compute, storage, network) and complete requirement gathering (HW, SW) to move individual applications to Cloud
• Complete high level and low level design for cloud infrastructure, databases and other required components.
• Build and deploy infrastructure in cloud
• Migrate OS, Database and application from on-premise to Cloud
• Apply technical knowledge and customer insights to create application modernization roadmap and architect solutions to meet business and IT needs, ensuring technical viability of new projects and successful deployments, orchestrating key resources and infusing key application development and DevOps technologies (e.g. App Service, containers, serverless, cloud native, , DevOps and OSS tools)
• Connect with Client team to remove key blockers

if interested, please share your update CV to for further process

Job Responsibilities

• To collaborate with various teams/regions in driving facilitating data design, identifying architectural risks and key areas of improvement in data landscape, and developing and refining data models and architecture frameworks
• Work closely with stakeholders to understand business requirements and translate them into practical, data-driven solutions.
• Contribute to presales efforts such as preparing RFP responses, creating solution proposals, and supporting presentations.
• Participate in architecture and design workshops to showcase how Azure Data & AI capabilities can meet business needs including components such as AI- Machine Learning, AI – Machine Vision, Gen AI and AI-Modeling expertise.
• Technical experience and knowledge in Cloud Data Warehousing, data migration and data transformation
• Develop and test ETL components to high standards of data quality and performance as a hands-on development lead.
• Familiarity with Databricks, Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI-ML, AI-MV and Gen-AI.
• Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.) in compliance with enterprise level architecture standards.
• Experience in leading and delivering data centric projects with concentration on Data Quality and adherence to data standards and best practices.
• Experience in data modelling, metadata support, development and testing for enterprise-wide data solutions.

Must have:

• Bachelor's degree in a technical field (Comp. Science degree preferred not mandatory)
• Expertise in ETL, Data architecture and Data modelling
• Expertise working in Relational and Big Data platforms, including Databricks, and large-scale distributed systems such as Spark.
• Expertise in Data Engineering, Data Governance, Data Quality, Data Lake, Data Warehousing and Reporting/Analytics concepts
• Expertise building Data pipelines, Data Lakes and Data Warehouses in Azure (optional as well for AWS and GCP) using Cloud services.
• Experience in designing Big Data/Cloud Solution Designs, data models.
• Knowledge of Pyspark, Shell scripting, SQL, Python & some of the standard data science packages
• Experience in AI-ML/ AI-MV projects.
• Expertise in Agentic AI.
• Strong verbal and business communication skills.
• Good experience interfacing with customers and being able to explain end to end technical proposals.

Nice to have
:

• Experience in manufacturing domain (add on)
• Microsoft certifications such as Azure Solution Architect Expert or DP-500 and MS Fabric DP-700.

About Us
HMH is a leading provider of drilling solutions, offering a wide range of products and services that are designed to be the safest and most efficient in the industry. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries. With offices in 16 countries across five continents, HMH maintains a strong global presence.

HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries. For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future.

Do you want to join our team?
At HMH we value our employees. We offer exciting job opportunities that will give you the opportunity to grow in your role and give you the professional development you deserve. In addition to competitive pay and benefits, you will join a casual and inclusive work environment. Our environment is based on respect and having a good day at work, so you can expect to join a knowledgeable, global team who help each other to succeed.

Summary
Level at which a professional operates with knowledge at a more senior level in their respective field

Job Responsibilities
Data Analytics Architecture and Design:

• Develop and implement end-to-end architecture solutions focusing on data management and processing flows.
• Design data models, including Dimensional, Relational, NoSQL, and Data Marts.
• Provide expertise in data warehousing, MPP databases, and business intelligence.

Technical Implementation:

• Utilize services like Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, Microsoft Fabric and Power BI to build data solutions.
• Implement data migration and engineering solutions using Azure products such as Azure Functions, Event Hub, and Stream Analytics.
• Conduct SQL optimization, Python programming, and PowerShell scripting.

Project Collaboration and Management:

• Work collaboratively with architects, technical leads, and business stakeholders to integrate technology solutions.
• Formulate deployment strategies to ensure scalability and reliability.
• Provide feedback on technical design, prototypes, and testing methodologies.

Operational Excellence:

• Develop robust integration with infrastructure, security, governance, and service delivery teams.
• Implement batch and streaming data pipelines using cloud technologies.
• Monitor, alert, and support production systems to ensure optimal performance.

Continuous Improvement and Innovation:

• Stay updated with the latest Data Analytics technologies, and suggest improvements and optimizations.
• Follow coding standards, best practices, and privacy/security guidelines.
• Participate in DevOps teams to own and support products through CI/CD pipelines.

Required Qualifications
Education:
Bachelor's degree in Computer Science, Data Engineering or related discipline

Experience:

• Minimum 7+ years of software solution development experience in an agile, DevOps-oriented environment.
• At least 5 years of data analytics experience using SQL.
• 3+ years of cloud development and data lake experience, preferably with Microsoft Azure.
• Experience with CI/CD tools such as GitHub, Jenkins, Azure DevOps.

Skills and Abilities:

• Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse
• Power BI, Azure SQL, Azure DevOps, Microsoft Entra ID
• SQL Optimization, Python, Spark
• PowerShell Scripting

Responsibilities:

* Design, implement & optimize Azure solutions.

* Ensure compliance with security standards.

* Collaborate with cross-functional teams on project delivery.

* Manage Azure infrastructure & networks.

Qualifications and Skills

Key Responsibilities:

• Design and deploy secure, scalable, and reliable cloud infrastructure on Microsoft Azure.
• Implement Infrastructure as Code using tools like Terraform, Bicep, or ARM templates.
• Monitor system performance and ensure high availability and disaster recovery.
• Automate deployments and workflows using PowerShell, Azure CLI, or DevOps pipelines.
• Maintain and enhance cloud network architectures including VNets, NSGs, VPNs, and firewalls.
• Ensure cloud environments adhere to compliance, security, and governance policies.
• Collaborate with DevOps, security, and development teams to support CI/CD pipelines and infrastructure needs.
• Troubleshoot infrastructure-related issues, system failures, and performance bottlenecks.
• Provide technical documentation and contribute to best practices and standards development.

Required Skills and Qualifications:

• Proven experience as an Azure Infrastructure Engineer, Cloud Engineer, or similar role.
• Strong understanding of Azure IaaS/PaaS services including VMs, Storage, Azure Networking, Azure Monitor, Key Vault, Load Balancer, and Azure Active Directory.
• Experience with Infrastructure as Code (IaC) Terraform, Bicep, ARM templates.
• Proficiency in PowerShell, Azure CLI, or other scripting languages.
• Experience with Azure DevOps, GitHub Actions, or other CI/CD tools.
• Knowledge of networking, firewalls, DNS, VPNs, and security best practices in cloud environments.
• Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics).
• Understanding of identity and access management in Azure (RBAC, AAD).
• Preferred Qualifications:
• Microsoft Certified: Azure Administrator Associate, Azure Solutions Architect, or similar.
• Experience with hybrid cloud setups and on-prem to cloud migrations.
• Knowledge of Kubernetes (AKS) and containerization is a plus.
• Familiarity with compliance frameworks like ISO 27001, SOC 2, or NIST.
• Understanding of identity and access management in Azure (RBAC, AAD).

Preferred Qualifications:

• Microsoft Certified: Azure Administrator Associate, Azure Solutions Architect, or similar.
• Experience with hybrid cloud setups and on-prem to cloud migrations.
• Knowledge of Kubernetes (AKS) and containerization is a plus.
• Familiarity with compliance frameworks like ISO 27001, SOC 2, or NIST.