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Snowflake Architect

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Onsite

Snowflake Architect

Tredence

Snowflake Architect

Skills

Google Cloud PlatformSQL QueriesData EngineeringKafkaSnowflakeData AnalysisAWSdbtTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


Role: Snowflake Architect

Exp: 8+ Years

Location: Bangalore

Notice Period: Immediate

Role & responsibilities

Key Responsibilities

  • Design scalable Snowflake data warehouse architectures, including database, schema, and role hierarchy design.
  • Define best practices for data modeling, clustering, partitioning, and query performance optimization.
  • Establish security and governance standards including RBAC, data masking, row-access policies, and network policies.
  • Architect data ingestion pipelines using Snowpipe, streams, tasks, and integration with ELT/ETL tools.
  • Guide cost optimization strategies through warehouse sizing, auto-suspend/resume, and query optimization.
  • Collaborate with data engineering and BI teams to enable self-service analytics on Snowflake.
  • Define CI/CD practices for schema changes and Snowflake object management (e.g., using Terraform or schemachange).
  • Provide architectural governance and mentor data engineers on Snowflake best practices.
  • Partner with business stakeholders to align the data platform roadmap with analytics and reporting needs.

Required Skills & Qualifications

8+ years of overall data engineering/architecture experience.

  • Deep expertise in Snowflake architecture: virtual warehouses, micro-partitions, clustering, and query optimization.
  • Strong experience with Snowflake security features: RBAC, masking policies, and network policies.
  • Proficiency in SQL and experience with at least one ETL/ELT tool (dbt, Fivetran, Matillion, ADF, etc.).
  • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) hosting Snowflake.
  • Experience designing data pipelines for both batch and near-real-time ingestion (Snowpipe, Kafka, streams/tasks).
  • Solid understanding of data governance, cost management, and performance tuning in Snowflake.
  • Strong stakeholder communication and technical leadership skills.

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