Sr. Data Architect - Data Engineering 3

Overview

Senior Snowflake Architect to design and deliver enterprise-scale cloud data platform solutions for global clients, combining deep technical ownership of the Snowflake platform with client-facing leadership in data modernization, AI/ML enablement, and platform adoption.

What you'll do

• Design and own end-to-end data architecture on Snowflake (databases, schemas, warehouses, Snowpipe, Streams & Tasks) across AWS/Azure/GCP
• Lead client discovery, solutioning, and technical presentations to translate business requirements into scalable Snowflake architectures
• Architect data pipelines for batch and near-real-time ingestion (Snowpipe, Snowpipe Streaming, external stages, CDC integration)
• Define standards for data governance, security, and access control using Snowflake-native features (RBAC, row/column-level security, masking policies, Horizon governance)
• Guide advanced platform capabilities: Snowpark (Python/Java/Scala), Cortex AI/ML functions, and Snowflake Native Apps
• Partner with client stakeholders to define migration strategy from legacy warehouses/on-prem platforms to Snowflake
• Own performance tuning, warehouse sizing, and cost governance (credit optimization, resource monitors, query profiling)
• Mentor engineering teams on Snowflake best practices; act as technical escalation point for client engagements
• Support pre-sales, solutioning, and RFP responses with Snowflake-specific architecture and effort estimation

What you'll need

• Experience in data engineering/architecture, with hands-on experience with Snowflake in production environments
• Strong expertise in SQL, data modeling (dimensional/Data Vault), and Snowflake architecture patterns
• Experience with at least one hyperscaler (AWS, Azure, or GCP) and Snowflake's native integrations on that platform
• Proven track record of client-facing delivery: workshops, architecture reviews, executive presentations
• Experience with ELT tools and orchestration (dbt, Fivetran, Airflow, Matillion) alongside Snowflake
• SnowPro Core or Advanced Architect certification
• Experience with data sharing/data marketplace and multi-cloud replication on Snowflake
• Exposure to GenAI/LLM workloads (Cortex Search, RAG pipelines) on Snowflake
• Consulting or systems integrator background with multi-client delivery experience
• Bachelor's in Business Analytics, Computer Science, or Statistics, or Master's in Data Science
• Language: English (Required), Proficient, C2

Details

• Location: Hyderabad, India (1401-G-India: 14-45, Uppal, STPI, Hyderabad)
• Work mode: Hybrid
• Work shift: Flex Time (India)
• Job type: Regular