Solutions Architect

Role Summary

KPI Partners is seeking a skilled Solutions Architect with expertise in Architecture background to join our dynamic team. This role spans backend application development, data platforms, and cloud infrastructure within the Microsoft Azure environment. The work includes building services using Python and FastAPI, deploying applications on Azure, and working with data platforms such as SQL-based RDBMS, Snowflake, and Databricks. Development workflows involve CI/CD pipelines, Git, and integration of GenAI tools and LLM APIs such as Azure OpenAI within application or data solutions.

Years of Experience : 12-16 Years , Bangalore (Hybrid)

Immediate joiners Preferred

Core Responsibilities

• Build and maintain backend services using Python and FastAPI, including API design and system integration.
• Deploy and operate applications on Microsoft Azure using services such as Azure App Service, Azure Functions, or container-based deployments.
• Work with relational data using SQL and RDBMS, including schema design, joins, and transformations.
• Develop data workflows interacting with Snowflake and Databricks for analytics and processing pipelines.
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools for build and deployment automation.
• Work with storage, authentication, and service integration within the Azure ecosystem.
• Integrate GenAI capabilities using Azure OpenAI or other LLM APIs.

Technical Skills

• Cloud: Microsoft Azure
• Backend: Python, FastAPI
• Data Platforms: Snowflake, Databricks
• Databases: SQL, RDBMS / MongoDB
• DevOps: CI/CD pipelines, Git
• AI Integration: GenAI tools, Azure OpenAI

Architecture & Design

• Design data platform architectures on Azure, integrating Snowflake, Databricks, and Python/FastAPI services.
• Define data integration and processing patterns across Azure services, RDBMS, and analytics platforms.
• Guide architecture decisions for cloud data workflows covering storage, compute, and service integration.
• Work with engineering teams to translate architecture into backend services, data pipelines, and deployments.

Good to Have

Familiarity with Power BI for dashboard building.