Job Description
<p><p><b>Role Overview : </b><br/><br/>We are seeking a highly skilled Senior Solutions Architect Data & AI (AWS) to join our team.<br/><br/>This role will be instrumental in designing, architecting, and delivering scalable data platforms and AI/ML solutions on AWS for enterprise and digital-native clients.<br/><br/>The ideal candidate is both a hands-on technologist and a strategic advisor, able to bridge business needs with technical execution.<br/><br/><b>Key Responsibilities : </b><br/><br/>Solution Architecture & Design : <br/><br/>- Architect end-to-end data, analytics, and AI/ML solutions leveraging AWS services (S3, Redshift, Glue, EMR, SageMaker, Bedrock, Lambda, etc.<br/><br/>- Design secure, highly available, and cost-optimized architectures aligned with AWS Well-Architected Framework.<br/><br/>- Translate complex business requirements into scalable cloud-native architectures.<br/><br/>Client Engagement : <br/><br/>- Act as a trusted advisor to CXOs, CTOs, and business stakeholders on their data and AI strategy.<br/><br/>- Conduct discovery workshops, PoCs, and solution deep-dives with clients.<br/><br/>- Present technical solutions clearly to both technical and non-technical audiences.<br/><br/>Delivery Excellence : <br/><br/>- Oversee the implementation of data pipelines, lakes, warehouses, and AI/ML models on AWS.<br/><br/>- Provide governance, performance tuning, and optimization guidance across the project lifecycle.<br/><br/>- Ensure best practices for data security, compliance, and responsible AI are embedded in solutions.<br/><br/>Thought Leadership : <br/><br/>- Mentor junior architects and engineers, building strong internal capability.<br/><br/>- Contribute to IP creation, reusable accelerators, and AWS competency achievements.<br/><br/>- Represent the company in AWS/AI/Cloud forums, webinars, and events.<br/><br/><b>Skills & Qualifications : </b><br/><br/>Technical Expertise : <br/><br/>- Proven experience (810 years) in designing and implementing cloud-native data and AI solutions.<br/><br/>- Hands-on expertise with AWS services : Glue, Redshift, EMR, Athena, Kinesis, SageMaker, Bedrock, OpenSearch, QuickSight.<br/><br/>- Strong grounding in data engineering, ETL, data lakes/warehouses, and AI/ML model lifecycle.<br/><br/>- Proficiency in Python/Scala/SQL and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).<br/><br/>Architecture & Consulting :<br/><br/>- Solid understanding of enterprise architecture, microservices, and serverless patterns.<br/><br/>- Familiarity with data governance, security, IAM, and compliance frameworks on AWS.<br/><br/>- Strong experience in client-facing consulting roles with executive-level interaction.<br/><br/>Certifications :<br/><br/>- AWS Certified Solutions Architect Professional (mandatory).<br/><br/>- Preferred : AWS Certified Data Analytics Specialty and/or AWS Machine Learning Specialty.<br/><br/><b>Why Work at CloudThat?</b><br/><br/>- Work on cutting-edge cloud transformation projects for enterprise clients.<br/><br/>- Be part of a values-driven organization where Customer Obsession, Ownership, and Trust are central.<br/><br/>- Enjoy a collaborative, growth-oriented environment where curiosity and innovation are celebrated.<br/><br/>- Access continuous learning opportunities, mentorship, and sponsored certifications.<br/><br/>- Contribute to a dynamic company that's thinking big and making a lasting industry impact<br/><br/></p><br/></p> (ref:hirist.tech)