Cloud Data Architect
We are looking for a highly experienced Cloud Data Architect with 12–18 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
- 12–18 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