EY - GDS Consulting - AI And DATA - Snowflake Admin - Senior

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Job Description: Snowflake Administrator / Data Engineer

Position Title

Snowflake Administrator / Senior Data Engineer

Experience

• 5-7 Years

Education

• Bachelor of Technology (B.Tech) / Bachelor of Engineering (B.E.) in Computer Science, Information Technology, Electronics, or related discipline

Position Summary

• We are seeking a highly motivated and hands-on Snowflake Administrator with strong Data Engineering capabilities to support and enhance enterprise data platforms. The ideal candidate will be responsible for Snowflake platform administration, security, governance, performance optimization, and operational support while also contributing to data engineering initiatives including data ingestion, ETL/ELT development, pipeline automation, and cloud data platform modernization.
• This role requires a blend of platform administration and development expertise, making it ideal for professionals who can manage Snowflake environments while also participating in the design and implementation of scalable data solutions.
• ________________________________________
• Key Responsibilities
• Snowflake Administration
• Administer and maintain Snowflake environments across Development, QA, UAT, and Production.
• Manage users, roles, privileges, warehouses, databases, schemas, and access controls using RBAC principles.
• Monitor Snowflake performance, resource consumption, query execution, and storage utilization.
• Configure and manage security controls, masking policies, row-level security, network policies, and authentication mechanisms.
• Perform platform monitoring, troubleshooting, root cause analysis, and issue resolution.
• Implement and maintain Snowflake governance, data retention, Time Travel, Fail-safe, and cloning strategies.
• Support capacity planning, cost optimization, and warehouse sizing activities.
• Manage environment migrations, deployments, and change management processes.
• Support audit, compliance, and data security requirements.

Data Engineering

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Implement data ingestion frameworks using Snowpipe, Streams, Tasks, Dynamic Tables, and related Snowflake services.
• Build and optimize data transformation logic using SQL, Python, and cloud-native technologies.
• Develop and support ingestion of structured, semi-structured, and unstructured data.
• Create reusable data models, views, stored procedures, and metadata-driven frameworks.
• Collaborate with business stakeholders, analysts, architects, and application teams for solution delivery.
• Support CI/CD implementation and automation of deployment processes.
• Participate in production support, issue resolution, and operational excellence activities.

Required Technical Skills

Snowflake

• Strong experience in Snowflake Administration and Snowflake Data Engineering.

Expertise in:

• Snowflake Warehouses
• Databases & Schemas
• User & Role Management
• RBAC
• Snowpipe
• Streams & Tasks
• Dynamic Tables
• Time Travel & Fail-safe
• Data Sharing
• Cloning
• Performance Tuning
• Cost Optimization
• Monitoring & Governance

Data Engineering

• Advanced SQL development and optimization skills.
• Strong hands-on experience with Python.
• Experience building enterprise-grade ETL/ELT pipelines.
• Strong understanding of dimensional modeling and data warehousing concepts.
• Experience with structured and semi-structured data formats (CSV, JSON, Parquet, XML).

Cloud Platforms

Experience with one or more:

• AWS
  • S3
  • IAM
  • Glue
  • Lambda
  • EC2
• OR
  • Azure
    • ADLS
    • ADF
    • Azure Functions
    • Databricks

DevOps & Automation

• Git/GitHub/Azure DevOps
• CI/CD pipelines
• Infrastructure automation concepts
• Agile delivery methodologies

Preferred Skills

• SnowPro Core Certification.
• Experience with Databricks and PySpark.
• Experience with AWS Glue or Azure Data Factory.
• Knowledge of data governance and data quality frameworks.
• Exposure to AI/ML-enabled data platforms.
• Experience supporting Life Sciences, Healthcare, Banking, Retail, or Manufacturing domains.
• Exposure to Cortex AI or Snowflake AI capabilities.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to work independently and lead technical discussions.
• Strong documentation and knowledge-sharing capabilities.
• Ability to manage priorities in a fast-paced environment.

Key Expectations

• The candidate should be comfortable spending approximately:
• 50% Snowflake Administration
• Security
• Governance
• Performance
• Monitoring
• Cost Management
• 50% Data Engineering
• ETL/ELT Development
• Data Modeling
• Automation
• Data Pipeline Engineering

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