Data Architect
Kyndryl (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 8h 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 data products, ensuring high quality and scalability.
- Implement Infrastructure as Code using Terraform, enable CI/CD practices, and lead data engineering initiatives with expertise in DBT, GCP services, and modern data architecture.
Minimum Requirements
- 9+ years of overall IT experience with expertise in data mining, storage, and ETL processes.
- Experience with data pipeline tooling such as Glue, Databricks, Synapse, or similar tools.
- Proficiency with both relational and NoSQL databases (PostgreSQL, DB2, MongoDB).
- Work Experience Required: Minimum 9 years in IT domain with data engineering focus.
Ideal Candidate Profile
- Strong background in cloud modernization and data engineering, especially with Google Cloud (GCP) and associated technologies like BigQuery, DBT, Spark, Apache Beam.
- Familiarity with Infrastructure as Code, CI/CD pipelines, DevOps practices, and data modeling concepts.
- Prefer candidates with professional certifications in data engineering or cloud platforms (AWS, Google Cloud Professional Data Engineer, Azure Data Engineer).