Job Summary:
10+ years of progressive experience in Data Engineering, Data Warehousing, and Data Architecture. Demonstrated experience leading architectural decisions for enterprise-scale data platforms.

Architecture & Strategy : End-to-end design of scalable, secure, and highly available data architectures leveraging up-to-date cloud data ecosystems (Databricks and Snowflake ).
Pipeline Engineering : Architect, optimize, and oversee the deployment of reliable streaming and batch data pipelines (ETL/ELT) to process complex, large-scale datasets.
Cloud Architecture : Architect and deploy scalable enterprise data platform components natively within the AWS ecosystem , ensuring tight integration with core security, IAM, and networking protocols.
API Ingestion & Orchestration: Design and implement robust data ingestion frameworks leveraging Databricks APIs and external REST/GraphQL APIs for automated workflows,



platform orchestration, and data delivery.
Real-time Processing: Design and implement robust frameworks for real-time data ingestion and processing to solve business-critical, low-latency use cases.
Hybrid Data Modelling: Harmonize "old school" relational data warehousing patterns (Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured up-to-date paradigms.
Technical Leadership: Act as a core problem-solver for complex data bottlenecks, provide technical governance, and mentor engineering teams on data best practices.
AI Integration: Collaborate with Data Science and AI teams to architect data layers that seamlessly support LLMs, Machine Learning pipelines, and advanced analytics solutions.

📌 Principal / Lead Data Architect Aws Bengaluru
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru