Data Platform Engineer - Snowflake

Truhome Finance Ltd; Mumbai; Hybride; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Truhome Finance Ltd in Mumbai seeks an experienced Data Platform Architect to own the enterprise Snowflake data platform, design scalable ingestion pipelines, and define the Snowflake account, security and cost model. You will establish a governed, reusable data foundation powering reporting, analytics and AI across the organization, while delivering hands-on implementation and technical leadership.

Collaborate with analytics teams, data engineers, and security to ensure performance and

Qualifications

• 7+ years in data engineering / data platform roles
• 4+ years hands-on Snowflake engineering and architecture
• 2+ years in architect or technical lead capacity

Responsabilités

• Own Snowflake architecture and data platform operations.
• Design scalable ingestion and transformation pipelines.
• Define Snowflake account, security and cost model.
• Establish governed, reusable data foundation for reporting, analytics and AI across the organization.

Connaissances

Hands-on data platform design

Leadership in tech team

Formation

B.Tech/B.E. in Computer Science/IT

Outils

Snowflake architecture

Snowpipe

Snowpark (Python)

RBAC design

Dynamic Data Masking

Cost optimization

Description du poste

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