Azure Enterprise Architecture

  • Mount Laurel, NJ
  • Posted 17 hours ago | Updated 17 hours ago

Overview

On Site
USD 60-65
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Presentations
Network
Budget
Level Design
Cloud Architecture
Backup
Recovery
Cloud Security
Configuration Management
Continuous Integration and Development
Roadmaps
Return On Investment
Collaboration
Extract
Transform
Load
Data Governance
Data Flow
Valuation
Reporting
IaaS
FTP
Application Lifecycle Management
QRM
Network Security
Identity Management
Software Development
Java
Python
C++
Migration
Data Centers
Microsoft Azure
Storage
Microservices
API
Continuous Integration
Continuous Delivery
Analytics
Auditing
Terraform
Cloud Computing
DevOps
Solution Architecture

Job Details

Title: Azure Enterprise Architect

Duration:6+ months of Contract with possible extension of hire

Location: Mount Laurel, NJ(Onsite from Day 1 - 4 Days onsite)

Rate: $63/hour onwards(Little bit Flexibility if candidate is good)

Roles and Responsibilities:

1. Design and architect robust solutions - proof of completing complex architectures

2. Strong communications / presentation skills. Strong collaboration skills and able to demonstrate a pragmatic approach

3. Collaborate with project managers and infrastructure, cloud and network architects to accurately deliver architecture projects on time and within budget

4. Assess and develop current architecture and readiness for implementation, introducing new solutions and modernization strategies for the platforms.

5. Develop detailed-level design requirements for architecture implementation of QRM, optimizing QRM platform and integration strategies for cost-effective delivery of scalable and reliable distributed systems.

6. Create delivery guides, assessments, and common architecture patterns for cloud architecture projects

7. Implement best practices for backup and recovery techniques for applications Azure and private cloud focusing on continuous deployment, cloud security, governance, configuration management, and continuous integration.

8. Design systems integrations, ingestion patterns, target and transition architectures, and roadmaps.

9. Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products.

10. Collaborate with cross-functional teams to implement scalable and efficient solutions.

11. Drive the adoption of DevOps best practices to streamline data pipeline implementation and maintenance.

12. Provide expertise in API integration and data governance for smooth data flows across systems.

13. Guide project team members, fostering a culture of learning and growth.

14. Experience in implementing QRM on Azure (or other CSP) is required

15. An understanding of valuation and risk measures. An understanding of data dimensionality for different risk measures in QRM

16. Experience in building reporting solutions in QRM

17. Sandbox capabilities in QRM

18. Deep understanding of QRM internal components and services, their interdependencies

19. Experience with defining architecture requirements for public cloud infrastructure to run QRM in the most optimal way

20. Provide input to stand up center of excellence to operate QRM solution.

Required Qualifications:

1. Bachelor s degree in computer science, Engineering, or a related field.

2. Understanding of IRR/NIIS/FTP and ALM business.

3. Prior experience of implementing QRM on Azure or other public cloud

4. Proficiency with using services in Azure.

5. Solid understanding of data and analytics principles and methodologies.

6. Experience architecting solutions on top of foundational cloud services (networking, security, account/organizations, logging & monitoring, identity access management, etc.).

7. Familiarity with DevOps practices and tools.

8. Experience in software development using languages such as Java, Python, C++,

9. Experience in large-scale migration of application workloads from on-perm or collocated data centers to a cloud platform.

10. Experience working with Azure, and private cloud compute, storage, micro-service applications, platform serverless frameworks, API gateway, CI/CD, and cloud-based services.

11. Experience implementing cloud controls, security, monitoring technologies, as well as hands-on experience instrumenting alerts based on aggregated logs and analytics output and audit services.

12. Experience with infrastructure as code using tools such as Terraform or Cloud Formation.

13. Experience developing DevOps, Site Reliability, and Solutions Architecture methodologies and practices

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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