About the Role

Position Title: Data Service Layer AI Engineer
Corporate Title: Senior Analyst
Reporting to: Vice President

Job Profile
Position details:
Cloud Data Engineer and Data Visualization Specialist with a strong technology background and hands-on experience working in an enterprise environment, designing and implementing data warehouses, data lakes, and data marts for large financial institutions. The ideal candidate will have BI & Analytics experience along with expertise in Data Engineering, Data Pipelines, and contemporary AI-assisted development practices. In this role, you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS), leveraging modern data platforms such as Snowflake and Starburst for semantic layer and data virtualization solutions. Candidates should also have experience applying AI-enabled productivity tools such as GitHub Copilot and exposure to Agentic AI frameworks, Prompt Engineering, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)



concepts to drive automation and innovation. Successful candidates will possess in-depth knowledge of current and emerging technologies, demonstrate a passion for designing and building elegant solutions, and continuously explore opportunities to improve engineering efficiency through responsible adoption of AI technologies.

Requirements

Roles and Responsibilities:
· Manage data analysis and data integration of disparate systems using data virtualization platforms
· Develop and implement data mesh and data fabric architectures to enable decentralized data management and access.
· Perform federated querying to access and analyze data across different data sources.
· Develop user personas and business personas in alignment with data requirements and deliver solutions that meet business needs.
· Work with business users to translate functional specifications into technical designs for implementation and deploymen

📌 Data Service Layer AI Engineer (Bengaluru)
🏢 ToCumulus
📍 Bengaluru