*Hiring for Genpact – Data Architect | Band 4D*
*Company:* Genpact
*Payroll:* Quess Corp
*Location: Bangalore – Mandatory*
*Experience: 12+ Years – Mandatory*
### Primary Skills
SQL | Amazon Redshift | PySpark | AWS Glue | Vector Databases | Embeddings | Python | AWS Data Services
### Job Summary
Lead the design and implementation of enterprise-scale data pipelines and embedding frameworks using AWS Glue, PySpark, Redshift, and Vector Databases. Drive AI-ready data ingestion, embedding generation, vector indexing, semantic search enablement, and high-performance data processing solutions.
### Key Responsibilities
* Design, build, and optimize batch and incremental data pipelines using PySpark and AWS Glue.
* Develop embedding pipelines for structured and unstructured data using modern AI/LLM frameworks.
* Build and manage Vector Database solutions for semantic search, RAG, and AI use cases.
* Design ingestion frameworks for documents, APIs, databases, and streaming sources.
* Optimize Redshift data models, SQL workloads, and large-scale analytical processing.
* Implement data quality, monitoring, lineage, and pipeline reliability controls.
* Lead technical delivery, code reviews, and mentoring of engineering team members.
### Required Experience
* *12+ years of experience in Data Engineering – Mandatory*
* *Bangalore location – Mandatory*
* Strong expertise in SQL, Redshift, PySpark, AWS Glue, and Python.
* Hands-on experience building embedding pipelines and Vector Database solutions.
* Experience supporting RAG, semantic search, and AI/GenAI data platforms.
* Proven experience leading technical initiatives and mentoring engineers.
### Preferred Certifications
* AWS Certified Data Engineer
* AWS Certified Solutions Architect
* Databricks Certified Data Engineer
* Generative AI Certification
### Focus Areas
Embedding Frameworks | Vector Databases | Data Pipelines | AWS Glue | PySpark | Redshift | Semantic Search | RAG Architecture | AI Data Engineering | Technical Leadership
*Interested candidates can share their updated profile.*
Pay: Up to ₹2,300,000.00 per year
Work Location: In person
