Snowflake Platform Engineer

Sci Solutions Global•Wilmington, DE

About The Position

The Snowflake Platform Engineer designs, builds, and operates scalable cloud data platforms, data pipelines, and migration solutions using AWS, Snowflake, and Python-based data engineering. The role includes implementing AWS data lake architectures, developing ingestion and transformation solutions, managing infrastructure as code, optimizing Snowflake, enabling secure data movement, supporting analytics and compute services, and maintaining CI/CD, monitoring, and workload orchestration processes. The position is located in Wilmington, Delaware. The client prefers candidates authorized to work in the United States as a U.S. citizen, Green Card holder, or Green Card EAD holder. W2 employment is required; C2C, 1099, and third-party profiles are not accepted.

Requirements

At least 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 is preferred.
CI/CD experience with Bitbucket/Git and Jenkins.
Familiarity with ServiceNow change management.
Experience with monitoring and log tracing using CloudWatch and Splunk.

Nice To Haves

Knowledge of AI agentic workflows and MCP servers.
Familiarity with Databricks or other AI/ML platforms.
Experience delivering cloud data solutions in Agile teams.

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.