Data Platform Engineer - Snowflake

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, Dynamic Tables, Materialized Views, External and Iceberg Tables, Time Travel, Zero-Copy Cloning, Fail-safe
• Snowpark (Python) for transformation and data application workloads; UDFs, UDTFs and Stored Procedures Snowflake security and governance: RBAC design, Secure Views, Row Access Policies, Dynamic 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