Job overview

This role owns the architecture, engineering and operation of the enterprise data platform built on Snowflake. The incumbent is a hands-on Data Platform Architect who will design and build scalable ingestion and transformation pipelines, define the Snowflake account, security and cost model, and establish a governed, reusable data foundation that powers reporting, analytics and AI across the organisation.

Role & responsibilities

Core Snowflake
Snowflake architecture: virtual warehouses, micro-partitions, clustering keys, caching layers, query profile analysis and performance tuning
Snowflake data engineering features: Snowpipe and Snowpipe Streaming, Streams & Tasks, Energetic Tables, Materialized Views, External and Iceberg Tables, Time Travel, Zero-Copy Cloning, Fail-protected
Snowpark (Python) for transformation and data application workloads; UDFs, UDTFs and Stored Procedures Snowflake security and governance:



RBAC design, Secure Views, Row Access Policies, Agile Data Masking, tag-based masking, Object Tagging, Data Classification, Access History, network policies
Cost and capacity management: warehouse right-sizing, auto-suspend/resume, multi-cluster scaling, resource monitors, credit consumption analysis and chargeback
Secure Data Sharing, Reader Accounts, Marketplace, cross-region replication, failover and disaster recovery

Preferred candidate profile
At least 7 years in data engineering / data platform roles, with at least 4 years of hands-on Snowflake engineering and architecture, including at least 2 years in an architect or technical lead capacity.
B.Tech/B.E. in Computer Science, Information Technology, or a related field

📌 Data Platform Engineer Snowflake Mumbai
🏢 Truhome Finance
📍 Mumbai