Snowflake Platform Engineer

SCI SOLUTIONS GLOBAL; Wilmington (DE); On-site; USD 140,000 - 200,000; Full time

Job summary

SCI SOLUTIONS GLOBAL in Wilmington, DE seeks a seasoned Snowflake Platform Engineer to design, build, and operate scalable cloud data platforms on AWS.

You will develop data pipelines, implement Lake Formation, Glue, Lambda, and Terraform IaC, optimize Snowflake performance, and support analytics with Spark, Boto3, and CI/CD pipelines.

Qualifications

• 6+ years of hands-on software development and data engineering.
• Proficiency in Python, Shell scripting, and UNIX.
• Extensive Snowflake experience including performance tuning and data modeling.
• Experience with Terraform for infrastructure as code across AWS and Snowflake.
• Experience with data pipelines and cloud-native architectures on AWS.

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 and orchestration.
• Create and manage infrastructure as code using Terraform for AWS and Snowflake.
• Optimize Snowflake performance and enable data movement with AWS CLI, Spark, and Boto3.
• Monitor and troubleshoot applications using CloudWatch and Splunk.
• Schedule workloads with Control-M or similar tools.

Skills

Python

Shell scripting

UNIX

Snowflake

Data modeling

Tools

Terraform

AWS

Git/Jenkins

ServiceNow

CloudWatch

Job description

Wilmington, United States | Posted on 10/27/2026

Work Authorization: US Citizen, Green Card, or GC EADpreferred
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.