Amol Technologies is a developing Global Software Development organization headquartered at Nashik, India. We are a group of profoundly gifted technologists taking into account our customer's needs. With an unmatched ability pool of profoundly talented Software Engineers, we have the specialized aptitudes, responsibility and industry information to convey custom applications on schedule and inside spending plan.
Job DescriptionWe 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
