Azure Solution Architect

Job Description:-

Design and architect scalable, secure, and high-performance cloud and data solutions on Microsoft Azure, with added leadership to Drive end-to-end delivery of data and analytics programs, integrating Databricks, modern data platform patterns, and production-grade

Key Responsibilities

•          Architect scalable, secure, and high-performance solutions using Microsoft Azure services, incorporating Gen-AI and LLM components where appropriate.

•          Create detailed architecture blueprints, solution diagrams, and technical documentation for cloud, data solutions .

•          Design large-scale data processing and analytics platforms leveraging Azure Databricks and Apache Spark.

•          Lead the implementation of Databricks-based and Azure-based solutions, ensuring they follow best practices and meet business requirements.

•          •          Design and implement CI/CD and MLOps practices for data pipelines and model lifecycle management using Azure DevOps and Azure ML capabilities.

•          Provide technical leadership and guidance across the project lifecycle, including prompt engineering best practices, safety and hallucination mitigation strategies, and model governance..

•          Optimize cloud and model-serving resources for performance, cost, and reliability, including scalable inference, batching, and autoscaling strategies.

•          Monitor model performance and data pipelines in production, establish alerting and metrics for accuracy, bias, latency, and cost.

•          Requirements

•          Bachelor’s degree in Computer Science, Engineering, or a related field.

•          15+ years of experience in data engineering, cloud architecture, or a closely related discipline.

•          Deep hands-on experience with Databricks and Apache Spark.

•          Familiarity with Azure OpenAI Service, Azure Cognitive Services, or equivalent managed ML/LLM platforms.

•          Strong proficiency in Python.

•          Solid SQL skills and experience with relational and analytical databases.

•          Proven experience with cloud platforms, with a strong focus on Microsoft Azure.

•          Experience with modern data warehousing patterns and technologies (e.g., Delta Lake, Lakehouse architectures).

•          Experience implementing MLOps for model versioning, CI/CD for models, automated testing, and monitoring.

•          Excellent problem-solving skills, attention to detail, and strong communication skills