Data Architect
Kyndryl (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP).
- Build and maintain robust ETL/ELT frameworks and implement Infrastructure as Code using Terraform.
- Enable CI/CD practices and deliver high-quality data products with a focus on data modeling and modern data architecture.
Minimum Requirements
- 9+ years of overall IT experience including data mining, data storage, and ETL processes.
- Experience with data pipeline development and tools such as Glue, Databricks, Synapse, or similar.
- Proficiency in relational and NoSQL databases like PostgreSQL, DB2, and MongoDB.
- Work Experience Required: Minimum 9 years in IT domain specifically with data engineering tasks.
Ideal Candidate Profile
- Strong expertise in DBT, GCP services, BigQuery, Terraform, CI/CD, and DevOps in cloud environments.
- Experience in data modeling, cloud modernization, and use of modern data architectural patterns.
- Certified or preparing for professional cloud/data engineering certifications such as Google Cloud Professional Data Engineer or AWS Certified Data Analytics – Specialty.