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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.
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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

EY | Building a better working world

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Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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