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Salary
≈ $37k – $75k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 11, 2026. CloudThat scores C on the Alion truth index.

Overview
Company
Impact
Profile match
CloudThat is a Bengaluru-based cloud consulting and technical training company that delivers cloud migration, DevOps, data analytics, generative AI and managed services alongside certification courses on AWS, Microsoft Azure and Google Cloud. Founded in 2012 by Bhavesh Goswami, it reports more than 350 consulting projects and over 850,000 professionals trained across 30 countries, holds top-tier partnerships with AWS, Microsoft, Google Cloud and Databricks, and has a US office in Seattle. It hires cloud operations engineers, solution architects, technical and cloud security trainers, recruiters, account managers and research and trainer interns.

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.

Role Overview:

· Design and implement data lakes and data warehouses using cloud platforms.

· Choose appropriate storage solutions (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage).

Key Responsibilities:

· Design cloud-native data/AI architecture

· Review and guide development on architectural patterns

· Ensure delivery alignment with business objectives

· Support client presentations and technical workshops

· Manage junior team members and mentor in solutioning

Skills & Qualifications:

· Hands-on experience with cloud solution design (AWS, Azure)

· Strong grasp of data lake, data warehouse, and AI patterns

· Experience in AI algorithm design and evaluation

· Excellent communication and leadership potential

· AWS Certified Solution Architect Professional

Education: Any bachelor's degree

Technical Competencies:

· Build and orchestrate ETL/ELT pipelines using cloud-native tools (One of them):

o AWS: Glue, Lambda, Step Functions

o Azure: Data Factory, Synapse Pipelines

o GCP: Dataflow, Cloud Composer

· Set up and manage cloud-based data warehouses (one of them):

o AWS Redshift

o Azure Synapse Analytics

o Google BigQuery

· Optimize performance, partitioning, and cost-efficiency.

· Implement real-time data pipelines using (one of them):

o AWS Kinesis, Azure Event Hubs, Google Pub/Sub

o Stream processing with Apache Kafka, Apache Flink, or Spark Structured

Infrastructure as Code (IaC)

· Use tools like Terraform, AWS CloudFormation, or Azure Bicep to provision and manage cloud resources.

Behavioural Competencies:

· Leadership and Mentoring

· Business Acumen

· Communication Skills

Core Value Competencies:

Innovativeness

Proprietorship

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