Cloud Data Architect

We are looking for a highly experienced Cloud Data Architect with 1218 years of experience in enterprise data engineering and cloud architecture. The candidate will be responsible for designing scalable secure and high-performance data platforms across AWS GCP or Azure environments.

Location: Mumbai Pune Bangalore

This role requires deep expertise in architecture design governance cost optimization and large-scale distributed systems.

Key Responsibilities

• Design enterprise-level cloud data architecture
• Define data lake lakehouse and warehouse strategies
• Architect real-time and batch data processing systems
• Lead cloud migration programs (on-prem to cloud)
• Establish data governance security and compliance frameworks
• Define CI/CD and DevOps strategy for data platforms
• Perform cost optimization and performance tuning
• Work with C-level stakeholders and business heads
• Mentor senior data engineers and technical leads
• Conduct architecture reviews and solution validations

Cloud Platform Expertise (Strong in at least one)

AWS Architecture Stack

Hands-on experience with:

• Amazon Web Services
• Amazon S3
• AWS Glue
• Amazon Redshift
• Amazon EMR
• Amazon Kinesis
• AWS Lake Formation
• AWS IAM

GCP Architecture Stack

Hands-on experience with:

• Google Cloud Platform
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer

Azure Architecture Stack

Hands-on experience with:

• Microsoft Azure
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure Databricks
• Azure Event Hubs
• Azure Purview

Technical Expertise

• Enterprise Data Architecture (Data Lake Lakehouse DWH)
• Advanced Data Modeling (Dimensional Data Vault Hybrid)
• Real-time Streaming & Event-Driven Architecture
• Distributed Computing (Spark Hadoop ecosystem)
• Infrastructure as Code (Terraform / ARM / CloudFormation)
• CI/CD for Data Platforms
• DevSecOps & Cloud Security
• High Availability & Disaster Recovery Planning
• Performance & Cost Optimization

Mandatory Experience

• 1218 years in Data Engineering / Data Architecture
• Minimum 6 years in Cloud Data Platforms
• Experience handling multi-terabyte / petabyte data environments
• Experience leading architecture decisions for enterprise programs
• Experience in multi-cloud or hybrid-cloud setups

Preferred Qualifications

• AWS / GCP / Azure Professional Architect Certification
• Experience in BFSI / Manufacturing / Retail / Healthcare
• Experience with ML & AI data platform architecture
• Strong stakeholder and executive communication skills

Leadership & Strategic Skills

• Ability to define data strategy roadmap
• Governance framework implementation
• Cost governance & optimization strategy
• Vendor evaluation & tool selection
• Team mentoring & architecture governance

Remote Work :

No

Employment Type :

Full-time