Data Architect - AWS

- 15+ Years' experience in Data Space across Architecture, Design, Development, testing & Deployment, full understanding in SDLC.

- Required to be hands on Tech Architectural profile , providing solutions , suggestions and helping in maintaining the technical frameworks.

- Provide Customer with general review of conceptual architectural models on AWS Services mutually selected by Customer and AWS, which may include:

- Review of Customer's constraints and dependencies

- Recommendations to Customer for potential alternatives

- Assist Customer to develop associated evaluation criteria

- Help define with Customer possible deployment patterns on AWS Services mutually selected between Customer and AWS (e.g., re-hosting, refactoring, revising, rebuilding and replacing)

- Advise Customer on AWS general best practices for architecting on AWS Services based on Customer's mutually agreed use case(s)

- Multiple program experience in Waterfall, Agile, Models, working directly with client and business

- Worked on classical Global delivery model, ability to hand hold Development & Technology teams in System Design & Data Architecture

- At least one end to end Architecture & Deployment for Data intensive initiative, preferably in Data Platform

- Experience delivering Global scale Data platforms, on Prem, Hybrid & public cloud

- Experience working with Data products like Snowflake, etc.

- Expert level knowledge in AIML, Intelligent Automation & RPA

- Strong experience with any public cloud services - Amazon Web ServicesAWS, Microsoft Azure, or Google Cloud ComputeGCP.

- Significant experience in Linux , Unix administration.

- Strong experience in source code management, CICD tools.

- Expertise in multiple coding and scripting languages including Shell andor Python, PowerShell.

- Hands-on experience to build and administer VMs and Containers using tools such as Docker, Vagrant, Kubernetes.

- Professional Certificates in AWS, RHCE, DevOps will be a plus Excellent problem solving and troubleshooting skills.

- Good written and verbal communication skills.

- Responsibility to lead the team technically and functionally.

- Responsibilities Deploy, automate, maintain, manage and optimize cloudon-premise infrastructure and ensure Availability, performance, scalability, and security of productions systems.

- Design, test, implement continuous integration and deployment pipelines using GitLab CI, Jenkins etc.

- Perform security, performance, availability audits assessments, assist with hardening servers and systems against attacks.

- Troubleshoot production issues, source code management, and deployment issues Install, configure and maintain Windows and Linux server software Create and maintain documentation on configuration, troubleshooting, design etc.

- TOGAF certification, Design principle certification a plus