Delivery Solution Architect

Role Overview

We are seeking a skilled Solution Architect – Data & AI to design, architect, and deliver scalable data and AI solutions across cloud platforms. The ideal candidate will have strong experience in both AWS and Azure, with expertise in modern data architectures, machine learning, and analytics solutions.

This role requires close collaboration with business stakeholders, engineering teams, and clients to translate requirements into robust, scalable, and cost-effective solutions.

Key Responsibilities

● Design and implement end-to-end Data & AI solutions on AWS and Azure cloud platforms

● Architect scalable data pipelines, data lakes, and data warehouses

● Lead solution design for AI/ML use cases, including model deployment and lifecycle management

● Collaborate with stakeholders to understand business requirements and translate them into technical solutions

● Define best practices, architecture standards, and governance for data platforms

● Provide technical leadership and guidance to development teams

● Ensure solutions are secure, scalable, and cost-optimized

● Work on data integration, ETL/ELT pipelines, and real-time data processing

● Evaluate and recommend tools, technologies, and frameworks

● Support pre-sales activities including solutioning, estimations, and client presentations

Key Skills & Expertise

Cloud Platforms

● Strong hands-on experience in AWS and Azure

● Experience with services like:

○ AWS: S3, Redshift, Glue, Lambda, SageMaker, EMR

○ Azure: Data Factory, Synapse, Data Lake, Databricks, Azure ML

Data Engineering & Architecture

● Data lake, lakehouse, and data warehouse architectures

● ETL/ELT frameworks and pipeline design

● Big data technologies (Spark, Hadoop, etc.)

AI / ML

● Experience with machine learning model development and deployment

● Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

● Understanding of MLOps practices

Programming & Tools

● Proficiency in Python, SQL

● Experience with APIs, microservices, and containerization (Docker, Kubernetes)

Preferred Qualifications

● Certifications in AWS and/or Azure (Solution Architect / Data Engineer / AI Engineer)

● Experience with Databricks or similar platforms

● Exposure to real-time streaming tools (Kafka, Kinesis, Event Hubs)

● Experience in data governance and security frameworks

Good to Have

● Experience in multi-cloud architecture

● Knowledge of GenAI / LLM-based applications

● Exposure to industry domains like BFSI, Healthcare, or Retail

• Seniority Level
• Mid-Senior level
• Industry
• Software Development
• Technology, Information and Media
• Employment Type
• Full-time
• Job Functions
• Information Technology
• Skills
• Microsoft Azure
• Python (Programming Language)
• Artificial Intelligence (AI)
• Amazon Web Services (AWS)
• Machine Learning
• Microsoft Azure Machine