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# Snowflake Platform Engineer

- **Company:** BCforward
- **Location:** Wilmington, DE, United States
- **Experience:** Expert
- **Salary:** $139,360.0 - $145,600.0
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, ARM Architecture, Bash Shell, Unix, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Performance Tuning, Cloud Services, Aws Command Line Interface (CLI), Azure Machine Learning, Shell Script, Software Engineering, Data Logging, Data Ingestion, Snowflake, Apache Spark, Boto3, Agentic-AI, Git, Data Lakes, AWS Data Analytics, Bitbucket, Cloudwatch, Streamlit Framework, Terraform, Splunk, Jenkins, Servicenow, Amazon Redshift, Databricks, Control M
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/fb1bef8a-ad00-4ca0-9464-ba906d457772

## About the Role

We are seeking a Snowflake Platform Engineer to join our dynamic team. The ideal candidate will have strong experience in AWS data lake services, Snowflake, and Python-based data engineering and a proven ability to design, build, and operate scalable cloud data platforms and migration pipelines., * 5-6 years of hands-on software development and data engineering experience.

 * Proficiency in Python, Shell scripting, and UNIX.
 * Strong experience with Snowflake, including performance tuning and data modeling.
 * Snowflake Cortex and Streamlit experience.
 * Hands-on with AWS data lake services: Lake Formation, Glue, Step Functions, and Lambda.
 * Experience with Terraform for infrastructure as code in AWS and Snowflake ecosystems.
 * Data movement expertise using AWS CLI, Python API, Spark, and Python Boto3.
 * Familiarity with analytics and compute services: Athena, S3 Select, EMR, Redshift, S3, and EC2.
 * Knowledge of scheduling tools, with Control-M preferred.
 * CI/CD experience with Bitbucket/Git and Jenkins, and change management via ServiceNow.
 * Monitoring and log tracing using AWS CloudWatch and Splunk.

Preferred Skills:

 * Knowledge on AI agentic workflows, MCP servers, or AI/ML platforms such as Databricks.
 * Prior work in Agile teams delivering cloud data solutions.

## Description

* Design, build, and maintain cloud-native data pipelines and services on AWS and Snowflake.
 * Implement data lake architectures using 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 with Terraform for AWS and Snowflake resources.
 * Optimize Snowflake performance and implement features including Snowflake Cortex and Streamlit apps.
 * Enable data movement using AWS CLI, Python APIs, Spark, and Boto3 with secure governance.
 * Support analytics services including Athena, S3 Select, EMR, and Redshift as needed.
 * Implement CI/CD pipelines using Bitbucket/Git and Jenkins with approvals in ServiceNow.
 * Monitor and troubleshoot using AWS CloudWatch and Splunk with effective logging and tracing.
 * Schedule and orchestrate workloads with Control-M or similar tools.