Technical Architect

10-14 Years

1. 10 + years of Design and implement experience into Snowflake-based data warehouse and Lakehouse solutions.
2. Lead the architecture and design of enterprise-wide data modernization programs and cloud data platforms (AWS )
3. Define target-state architectures, migration strategies, and modernization roadmaps for legacy data warehouses and ETL ecosystems.
4. Define Snowflake data modelling strategies, clustering, partitioning, workload optimization, and cost management practices.
5. Design scalable data ingestion, transformation, and consumption patterns for structured and unstructured data.
6. Provide technical leadership, solution reviews, and architecture governance.
7. Collaborate with business stakeholders, product teams, data engineers, analysts, and enterprise architects.
8. Strong knowledge in ETL (Any of the ETL Tools- Ex: Informatica/Datastage/Talend etc. ) & SQL/PL-SQL and Knowledge in Python / Pyspark is preferable
9. Good to have experience in the Manufacturing domain, with a strong understanding of industry processes and data workflows
10. Enable CI/CD, DevOps, and automation practices for data engineering and analytics workflows.
11. Proven experience leveraging AI-assisted tools and modern automation technologies to accelerate architecture design, optimize cloud and data platform performance.
12. Excellent communication and stakeholder management