Snowflake Platform Engineer

Job Title: Snowflake Platform Engineer

Location: Wilmington, DE

Work Authorization: US Citizen, Green Card, or GC EAD preferred
W2 Requirement- No C2C, 1099, or third-party profiles accepted.

Our Client is seeking an experienced Snowflake Platform Engineer with strong expertise in AWS data lake services, Snowflake, and Python-based data engineering. The ideal candidate will have experience designing, building, and operating scalable cloud data platforms, data pipelines, and migration solutions.

Key Responsibilities

• Design, build, and maintain cloud-native data pipelines and services on AWS and Snowflake.
  

• Implement data lake architectures using AWS Lake Formation, Glue, Step Functions, and Lambda.
  

• Develop Python, Shell, and UNIX-based solutions for data ingestion, transformation, and orchestration.
  

• Create and manage infrastructure as code using Terraform for AWS and Snowflake resources.
  

• Optimize Snowflake performance and implement Snowflake Cortex features and Streamlit applications.
  

• Enable secure data movement using AWS CLI, Python APIs, Spark, and Boto3.
  

• Support analytics and compute services, including Athena, S3 Select, EMR, Redshift, S3, and EC2.
  

• Implement CI/CD pipelines using Bitbucket/Git and Jenkins, including approval workflows through ServiceNow.
  

• Monitor and troubleshoot applications using AWS CloudWatch, Splunk, logging, and tracing.
  

• Schedule and orchestrate workloads using Control-M or similar tools.
  

Required Skills & Qualifications

• 6+ years of hands-on software development and data engineering experience.
  

• Strong proficiency in Python, Shell scripting, and UNIX.
  

• Extensive experience with Snowflake, including performance tuning and data modeling.
  

• Experience with Snowflake Cortex and Streamlit.
  

• Hands-on experience with AWS data lake services: Lake Formation, Glue, Step Functions, and Lambda.
  

• Experience with Terraform for infrastructure as code across AWS and Snowflake environments.
  

• Data movement experience using AWS CLI, Python APIs, Spark, and Boto3.
  

• Familiarity with Athena, S3 Select, EMR, Redshift, S3, and EC2.
  

• Knowledge of workload scheduling tools; Control-M preferred.
  

• CI/CD experience with Bitbucket/Git and Jenkins.
  

• Familiarity with ServiceNow change management.
  

• Experience with monitoring and log tracing using CloudWatch and Splunk.
  

Preferred Qualifications

• Knowledge of AI agentic workflows and MCP servers.
  

• Familiarity with Databricks or other AI/ML platforms.
  

• Experience delivering cloud data solutions in Agile teams.