AWS Architect Data Engineering (Kinesis+ Redshift + Glue +PySpark) - Senior Manager
PwC (company site, opens in a new tab)13+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of AWS data engineering solutions using Kinesis, Redshift, Glue, and PySpark for batch and streaming use cases.
- Own architecture of cloud data platforms enabling ingestion, transformation, storage, and analytics across enterprise environments.
- Guide large teams through complex migration, data modernization, and delivery efforts, ensuring alignment with client business priorities.
Minimum Requirements
- Bachelor's degree required.
- Minimum 13 years of professional experience required.
- Hands-on AWS data engineering expertise with Kinesis, Redshift, Glue, and PySpark mandatory.
- Oral and written English proficiency mandatory.
Ideal Candidate Profile
- Experienced leader in client-facing cloud data platform modernization projects.
- Strong background in architecture translation into clear, actionable stakeholder communication.
- Proficient in coaching teams through technical ambiguity and delivery challenges.