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 thats thinking big and making a lasting industry impact.
