Opportunity brief
About CloudThat: At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. Our culture is built on: Proprietorship Process Thinking Relentless Learning Commitment to Client Innovativeness Proactiveness If these principles resonate with you, we invite you to be a part of our journey. Role Overview: We are seeking a highly skilled Senior Solutions Architect – Data & AI (AWS) to join our team. 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. The ideal candidate is both a hands-on technologist and a strategic advisor , able to bridge business needs with technical execution. Key Responsibilities: • Solution Architecture & Design o Architect end-to-end data, analytics, and AI/ML solutions leveraging AWS services (S3, Redshift, Glue, EMR, SageMaker, Bedrock, Lambda, etc.). o Design secure, highly available, and cost-optimized architectures aligned with AWS Well-Architected Framework. o Translate complex business requirements into scalable cloud-native architectures. • Client Engagement o Act as a trusted advisor to CXOs, CTOs, and business stakeholders on their data and AI strategy. o Conduct discovery workshops, PoCs, and solution deep-dives with clients. o Present technical solutions clearly to both technical and non-technical audiences. • Delivery Excellence o Oversee the implementation of data pipelines, lakes, warehouses, and AI/ML models on AWS. o Provide governance, performance tuning, and optimization guidance across the project lifecycle. o Ensure best practices for data security, compliance, and responsible AI are embedded in solutions. • Thought Leadership o Mentor junior architects and engineers, building strong internal capability. o Contribute to IP creation, reusable accelerators, and AWS competency achievements. o Represent the company in AWS/AI/Cloud forums, webinars, and events. Skills & Qualifications: • Technical Expertise o Proven experience (8–10 years) in designing and implementing cloud-native data and AI solutions. o Hands-on expertise with AWS services: Glue, Redshift, EMR, Athena, Kinesis, SageMaker, Bedrock, OpenSearch, QuickSight. o Strong grounding in data engineering, ETL, data lakes/warehouses, and AI/ML model lifecycle. o Proficiency in Python/Scala/SQL and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn). • Architecture & Consulting o Solid understanding of enterprise architecture, microservices, and serverless patterns. o Familiarity with data governance, security, IAM, and compliance frameworks on AWS. o Strong experience in client-facing consulting roles with executive-level interaction. • Certifications o AWS Certified Solutions Architect – Professional (mandatory). o Preferred: AWS Certified Data Analytics – Specialty and/or AWS Machine Learning – Specialty. Why Work at CloudThat? Work on cutting-edge cloud transformation projects for enterprise clients. Be part of a values-driven organization where Customer Obsession, Ownership, and Trust are central. Enjoy a collaborative, growth-oriented environment where curiosity and innovation are celebrated. Access continuous learning opportunities, mentorship, and sponsored certifications. Contribute to a dynamic company that's thinking big and making a lasting industry impact.