Data Architect Data Products (AWS & Databricks) Experience: 10+ Years About the Role We are seeking an experienced Data Architect to design and drive the architecture for enterprise-scale data products built on AWS and Databricks. This role owns the technical vision for how data is ingested, modeled, governed, and served across the organization, enabling analytics, reporting, and AI/ML use cases. Key Responsibilities Define and own the end-to-end data architecture strategy for AWS and Databricks Lakehouse. Design scalable medallion architecture (Bronze/Silver/Gold) patterns and data models. Architect solutions using AWS services and Databricks components. Establish data governance, security, and access control frameworks. Define standards for data quality, observability, and lineage. Guide engineering teams on CI/CD, pipeline design,



and optimization. Required Skills & Experience 10+ years in data engineering/architecture roles. Solid hands-on AWS expertise (S3, Glue, Lambda, EMR, Redshift, IAM, Kinesis). Databricks experience: Delta Lake, Unity Catalog, DLT, Workflows, Auto Loader. Strong data modeling and governance knowledge. Experience with CI/CD, observability, and performance tuning. Good to Have Databricks certifications. AWS certifications. Data Mesh experience. GenAI/LLM and MLOps exposure. Experience in regulated industries. Education Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.

📌 FTE deloitte - Data Architect – Data Products (AWS & Databricks) (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru