Key Responsibilities

- - Architecture & Design: Design end-to-end data lakes, lakehouses, and data warehouses utilizing Snowflake and Databricks best practices

- Platform Integration: Architect hybrid batch and streaming pipelines using PySpark, SQL, dbt, and cloud-native services (AWS, Azure).

- Governance & Performance: Implement data modeling standards (Dimensional, Data Vault 2.0, Medallion architecture), RBAC security, and cost-performance tuning

- Leadership: Partner with business and engineering stakeholders to translate requirements into technical roadmaps, lead POCs, and mentor data teams
- - Experience: 10+ years in IT/Data Engineering with at least 3–5 years in a dedicated Solution or Data Architect role.

- Core Tech Stack:
- Snowflake: Architecture design, Snowpipe, Streams/Tasks, virtual warehouses, and cost governance.
- Databricks: Delta Lake, Unity Catalog, Apache Spark, and Medallion architecture

- Cloud & Tools: Solid hands-on experience with AWS, Azure, or GCP, plus orchestration and transformation tools like dbt or Airflow

📌 Sr solution Architect - Data and Analytics (India)
🏢 NewVison
📍 India