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Snowflake Principal Architect - Data Platform

Snowflake Principal Architect - Data Platform

Quest Business SolutionDelhi, IN
30+ days ago
Job type
  • Remote
Job description

We are looking for a highly experienced and strategic Snowflake Principal Architect to lead end-to-end solutioning, architecture, and implementation of data platforms using the Snowflake ecosystem.

This is a senior-level role that blends deep technical expertise with strong consultative and client-facing skills.

The ideal candidate will act as the Subject Matter Expert (SME) for Snowflake, helping clients design, implement, and optimize data solutions for both batch and streaming workloads.

As a Principal Architect, you will work closely with business stakeholders, data engineers, and solution architects to build scalable, high-performance, and cost-effective data warehousing solutions in cloud environments.

You will also provide technical leadership and mentoring to junior architects and engineers.

KEY RESPONSIBILITIES :

  • Lead the architecture and design of scalable, secure, and high-performance data platforms using Snowflake.
  • Serve as a trusted advisor and SME for clients in designing end-to-end solutions involving Snowflake and related technologies such as dbt, Fivetran, Airflow, Matillion, Kafka, etc.
  • Provide consulting on cloud data strategy, data integration, migration, and modernization initiatives.
  • Evaluate and recommend best-fit architectural patterns (e. , ELT / ETL, data mesh, data lakehouse).
  • Architect and oversee the development of ETL / ELT pipelines using Snowflake in combination with tools like dbt, Fivetran, Talend, Informatica, or custom scripts.
  • Enable real-time and batch data processing by integrating with streaming tools such as Kafka, Apache Spark, etc.
  • Work with cross-functional teams to design pipelines that ensure data integrity, consistency, and security.
  • Design and implement data models (star / snowflake schemas, data vaults, etc.) and data warehouses to support business analytics and operational needs.
  • Define and enforce data governance, data cataloging, and metadata management practices.
  • Guide and mentor engineering teams on Snowflake development best practices, query optimization, and cost management.
  • Drive proof-of-concept initiatives and create reusable solution accelerators.
  • Review code, pipelines, and architecture artifacts to ensure alignment with standards.
  • Create detailed architecture diagrams, data flow diagrams, and technical documentation.
  • Communicate complex technical concepts clearly to non-technical stakeholders, including executives and clients.
  • Participate in RFPs, proposals, and technical pre-sales activities when needed.

MANDATORY SKILLS & QUALIFICATIONS :

  • 10+ years of overall experience in Data Engineering, Data Architecture, or related fields.
  • 5+ years of hands-on experience with Snowflake, including :
  • Snowflake architecture design
  • Performance tuning & optimization
  • Security, access control, and RBAC
  • Zero-copy cloning, time travel, data sharing features
  • Experience with dbt, Fivetran, or similar tools.
  • Proven expertise in Data Warehousing, Data Architecture, and Data Modeling.
  • Deep understanding of cloud platforms like AWS, GCP, or Azure and how Snowflake integrates within these environments.
  • Strong SQL expertise and experience with Python, Shell scripting, or other automation tools.
  • Hands-on experience with streaming tools such as Kafka, Kinesis, Spark Streaming is a plus.
  • Prior experience in consulting or client-facing solutioning roles is mandatory
  • ref : hirist.tech)

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