Job Posted On 10-11-2026 12:50:55 Job Code Job_305001 Experience Required 8
- 15 years Location
• Chennai, Tamil Nadu, India (CHN) Job Summary Job Title : Senior Data Engineer / Data Architect (AI & Data Integration)

Location:
Offshore (India) Pune, Bangalore , Chennai

Experience:
8-12+ Years Employment Type : Full-Time

About The Role
We are seeking a highly skilled Senior Data Engineer/Data Architect to design, develop, and support enterprise-scale data integration and AI-ready data platforms. The ideal candidate will possess deep expertise in Informatica, SQL Server, Vector Databases, REST APIs, and modern data integration patterns. This role will work closely with business and technology stakeholders to build scalable data pipelines, enable AI/LLM solutions, and support enterprise application modernization initiatives.

Key Responsibilities
Data Engineering & Integration Design, develop, and maintain enterprise data pipelines using Informatica. Build and optimize ETL/ELT workflows for large-volume data processing. Integrate data from multiple enterprise applications, databases, APIs, and third-party platforms. Develop data ingestion frameworks for structured, semi-structured, and unstructured data. Implement data quality, validation, reconciliation, and monitoring mechanisms. Database & Data Modeling Design and manage SQL Server databases. Develop complex SQL queries, stored procedures, views, and performance tuning solutions. Design logical and physical data models supporting operational and analytical workloads. Optimize database performance, scalability, and reliability. AI & Vector Database Enablement Build and manage vector-based data stores for GenAI and semantic search use cases. Work with embeddings, vector indexes, and Retrieval Augmented Generation (RAG) architectures. Integrate enterprise data sources with AI/LLM platforms. Support document intelligence, knowledge management,



and AI search solutions. API Development & Integration Develop and consume REST APIs for enterprise integrations. Implement API security using OAuth, JWT, and token-based authentication. Integrate cloud and on-premise applications through API-based architectures. Support event-driven and microservices-based integration patterns. Architecture & Governance Define data architecture standards and integration best practices. Ensure data security, governance, and compliance requirements are met. Collaborate with business analysts, architects, data scientists, and application teams. Drive technical design reviews and solution recommendations. Mandatory Skills Data Integration Informatica PowerCenter and/or Informatica IICS ETL/ELT Development Data Warehousing Concepts Data Migration and Data Synchronization Database Microsoft SQL Server Query Optimization Stored Procedures Performance Tuning Data Modeling API & Integration REST APIs JSON/XML OAuth Authentication API Integration Frameworks AI/Data Modernization Vector Databases (Pinecone, Weaviate, Milvus, Qdrant, Azure AI Search, PgVector) Embedding Concepts Semantic Search RAG Architectures Development Python preferred Git Agile/Scrum DevOps CI/CD Practices Preferred Skills Azure Data Factory (ADF) Databricks Azure Synapse Snowflake Kafka/Event Hub LangChain OpenAI/Azure OpenAI Document AI platforms Knowledge Graphs Data Lake Architecture Required Experience 8+ years of Data Engineering experience. 5+ years of Informatica development experience. Strong hands-on SQL Server expertise. Experience building enterprise data integration solutions. Experience working with cloud-based data platforms. Experience supporting AI/GenAI initiatives is highly desirable. Robust customer-facing communication skills. Nice-to-Have Experience Document Processing Solutions Intelligent Search Platforms LLM Integration Projects AI-powered Knowledge Management Platforms Healthcare, Manufacturing, Distribution, or Enterprise IT domains

📌 Lead Data Engineer (Chennai)
🏢 Neurealm
📍 Chennai