Solutions Architect (Snowflake)

Hi Sabir,

We have a urgent role with our client TATA Elxsi, let me know If you have any resource available.

Title : Azure Solution Architect

Location : Indianapolis , IA , Location: Should be willing to work from Customer’s Indianapolis location on a hybrid basis

Role Summary

Tata Elxsi seeking an experienced Azure Solution Architect to lead the architecture, scalability, security, and cloud engineering strategy for an enterprise-grade, AI-driven Optimization Platforms deployed on Microsoft Azure.

·      The ideal candidate will design and govern a scalable, secure, high-performance, and future-ready cloud architecture, enabling advanced scheduling, optimization, and data-driven decision-making capabilities across the enterprise.

·      Experience Level: 12 years of overall experience in software architecture and with 5 years in Azure Solution Architecture.

2.      Key Responsibilities

1.      Azure Cloud

·      Define and implement end-to-end architecture on Microsoft Azure.

·      Design scalable, resilient, and highly available cloud-native solutions.

·      Establish architecture patterns aligned with Azure best practices, including microservices and event-driven architectures.

·      Design and enforce API-first architecture principles.

·      Develop microservices or modular architecture frameworks for flexibility and scalability.

·      Ensure reusability, maintainability, and performance optimization across services.

2.      Data & Integration

·      Architect robust data integration frameworks, including scalable integration with Snowflake.

·      Design ETL/ELT pipelines and data workflows using Azure Data Factory or equivalent tools.

·      Integrate with enterprise systems such as:

o  ServiceMax

o  ERP platforms

o  External enterprise APIs and data providers

3.      AI & Optimization Platform

·      Design and implement scalable architecture for constraint-based scheduling and optimization engines.

·      Enable execution frameworks leveraging: Google OR-Tools, Route optimization models

·      Define architecture for AI/ML systems including:

o  Retrieval-Augmented Generation (RAG)

o  Vector databases

o  Azure AI Foundry and OpenAI services

·      Establish MLOps pipelines for model lifecycle management.

4.      Security & Governance

·      Implement enterprise-grade security frameworks including Azure Entra ID (Azure AD) and Single Sign-On (SSO), Role-Based Access Control (RBAC)

·      Multi-tenant isolation strategies

·      Define secrets management using Azure Key Vault.

·      Ensure alignment with organization enterprise cloud standards, regulatory and cybersecurity policies

5.      Stakeholder Management & Governance

·      Collaborate with enterprise architects, IT leadership, and governance teams.

·      Lead architecture review boards and design workshops.

·      Present architecture roadmaps, solution designs, and technical strategies to stakeholders.

·      Drive alignment between business requirements and technical execution.

1.      Required Technical Skills

·      Strong expertise in Azure services: Azure App Services, Azure Kubernetes Service (AKS), Azure Functions, Azure API Management, Azure Data Factory, Azure Service Bus, Azure Key Vault and Azure Entra ID

·      Data & Analytics:

o  Experience with Snowflake integration and cloud data warehousing.

o  Expertise in ETL/ELT pipelines and multi-tenant data architecture design.

·      Backend Development:

o  Proficiency in Python-based backend systems.

o  Experience with: FastAPI / Flask / .NET APIs, RESTful API design and development

·      Frontend Architecture

o  Experience with Streamlit, React framework.

o  Knowledge of modern UI architecture patterns and frontend design principles.

·      AI / ML & Optimization: Hands-on experience in:

·      MLOps pipelines and practices

·      RAG architectures and vector databases

·      Optimization tools such as Google OR-Tools

·      Optimization and scheduling algorithms

·      Azure AI Foundry and OpenAI ecosystem.

·      DevOps & Engineering Practices: Experience with

·      Azure DevOps / GitHub Actions

·      CI/CD pipeline design

·      Docker and containerization

·      Preferred Domain Experience:

o  Life Sciences, Healthcare

o  Manufacturing Analytics, Logistics Optimization, Workforce Scheduling, Predictive maintenance, Industrial and Process Automation,

o  Enterprise SaaS Platforms, IoT

·      Certifications (Preferred): Microsoft Azure Certifications (e.g., Azure Solutions Architect Expert)

2.      Leadership Skills

·      Strong executive communication and presentation skills.

·      Proven ability to work in cross-functional and globally distributed teams (onshore/offshore).

·      Excellent problem-solving and analytical thinking capabilities.

·      Experience in mentoring and guiding engineering teams.

·      Ability to influence stakeholders and drive architectural alignment.