Overview
GDT Data Solution Architect to design and deliver end-to-end data and analytics solutions across the Data Foundation ecosystem.
What you'll do
- Design holistic data and analytics architectures covering ingestion, processing, and transformation.
- Architect data lakes, data warehouses, and semantic layers for governed enterprise data.
- Deliver BI and reporting solutions, including Power BI dashboards, datasets, and semantic modelling.
- Define scalable, modular, reusable architecture patterns aligned to Data Foundation standards.
- Architect and optimize ETL/ELT pipelines and workflows for reliability, scalability, and maintainability.
- Enable AI-ready data solutions, including semantic modelling, metadata enrichment, and knowledge layers.
- Lead adoption of AI/ML and generative AI patterns such as agentic architectures and RAG-based analytics.
What you'll need
- 4 to 9 years of experience.
- Strong hands-on experience in Python for production-grade data and AI solutions.
- Deep expertise in the Databricks ecosystem, including Delta Lake, Unity Catalog, and orchestration.
- Advanced proficiency in SQL/PostgreSQL with data modelling and optimization skills.
- Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
- Experience with GCP services, including Cloud Run and cloud-native architectures.
- Strong Power BI development skills, including semantic modelling and performance optimization.
Details
- Location: Bangalore, India.
- Employment/location line in source ATS: Uniops Bangalore Centre.
Read the full description and apply on the company’s own careers page.
