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Job Type

Full Time

Job Description

Experience- 12+ years

Location- Hyderabad, Pune

JD-

Job Summary

We are seeking an experienced Snowflake Architect with 15+ years of expertise in data warehousing, cloud architecture, and Snowflake implementations. The ideal candidate will design, optimize, and manage large-scale Snowflake data platforms, ensuring scalability, performance, and security. This role requires deep technical knowledge of Snowflake, cloud ecosystems, and data engineering best practices.

Key Responsibilities

1. Snowflake Architecture & Design

  • Lead the design and implementation of Snowflake data warehouses, data lakes, and data marts.
  • Define best practices for Snowflake schema design, clustering, partitioning, and optimization.
  • Architect multi-cloud (AWS) Snowflake deployments with seamless integration.
  • Design data sharing, replication, and failover strategies for high availability.

2. Performance Optimization & Scalability

  • Optimize query performance using Snowflake features (warehouse sizing, caching, materialized views).
  • Implement automated scaling strategies for dynamic workloads.
  • Troubleshoot and resolve performance bottlenecks in large-scale Snowflake environments.

3. Data Integration & Pipeline Development

  • Architect ETL/ELT pipelines using Snowflake, Coalesce and other tools.
  • Integrate Snowflake with BI tools (Tableau, Power BI), ML platforms, and APIs.
  • Implement CDC (Change Data Capture), streaming, and batch processing solutions.

4. Security, Governance & Compliance

  • Define RBAC, data masking, row-level security, and encryption policies in Snowflake.
  • Ensure compliance with GDPR, CCPA, HIPAA, and SOC2 regulations.
  • Establish data lineage, cataloging, and auditing using Snowflake’s governance features.

5. Team Leadership & Strategy

  • Mentor data engineers, analysts, and developers on Snowflake best practices.
  • Collaborate with C-level executives to align Snowflake strategy with business goals.
  • Evaluate emerging trends (AI/ML in Snowflake, Iceberg tables, Unistore) for innovation.

Required Skills & Qualifications

  • 12+ years in data warehousing, cloud architecture, and database technologies.
  • 8+ years of hands-on Snowflake architecture & administration experience.
  • Expertise in SQL, Python for data processing.

Deep knowledge of Snowflake features (Time Travel, Zero-Copy Cloning, Snowpark, Streams & Tasks).

  • Experience with cloud platforms (AWS S3, Azure Blob)
  • Strong understanding of data modeling (star schema, data vault, 3NF).
  • Certifications: Snowflake Advanced Architect.

Preferred Skills

· Knowledge of DataOps, MLOps, and CI/CD pipelines.

· Familiarity with DBT, Airflow, SSIS & IICS

Job Type: Full-time

Pay: From ₹2,000,000.00 per year

Schedule:

  • Monday to Friday

Application Question(s):

  • How many years of total experience do you currently have?
  • How many years of experience do you have with Snowflake architecture?
  • How many years of experience do you have with with cloud platforms (AWS S3, Azure Blob)?
  • How many years of experience do you have with Python?
  • What is your current CTC?
  • What is your expected CTC?
  • What is your notice period/ LWD?
  • What is your current location?

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