Designs and delivers secure, scalable AWS data platforms and AI/ML solutions for enterprise clients. Advises executives, leads discovery workshops and proofs of concept, translates business needs into cloud architectures, and oversees data pipelines, lakes, warehouses, and model implementations. Provides governance, optimization, security, compliance, and responsible AI guidance while mentoring technical teams, creating reusable intellectual property, and representing the company at industry events.
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.
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