Senior Data & Cloud Engineer: ETL, Snowflake & AWS

Clark Capital Management Group; Philadelphia (Philadelphia County); On-site; USD 130,000 - 170,000; Full time

Job summary

Clark Capital Management Group is seeking a Data & Cloud Engineer to design, build, and support the data pipelines and cloud infrastructure that power our reporting, analytics, applications, and AI capabilities.

The ideal candidate will bring five or more years of experience in data engineering, cloud engineering, platform engineering, or a related discipline, with hands-on experience developing production ETL/ELT pipelines, working with Snowflake, and administering AWS resources.

Qualifications

• 5+ years of experience in data engineering, cloud engineering, or related field.
• Experience developing production ETL/ELT pipelines.
• Hands-on Snowflake experience and AWS resource administration.
• Strong in data modeling, SQL, and Python automation.
• Proven ability to design and implement secure, auditable access controls.

Responsibilities

• Design, build, test, deploy, and maintain scalable ETL/ELT pipelines.
• Develop and optimize Snowflake data models and SQL transformations.
• Develop Python-based automation and serverless workflows (e.g., AWS Lambda).
• Provision and maintain cloud resources with Terraform or CloudFormation.
• Manage and optimize Snowflake and AWS environments and governance.

Skills

ETL/ELT pipelines

SQL transformations

Data modeling

Python automation

AWS Lambda

IaC (Terraform)

CloudFormation

Snowflake administration

Education

Bachelor's degree in CS/Engineering/IS

Tools

Matillion

Snowflake

AWS (S3, CloudWatch, EventBridge, Secrets Manager, KMS)

Terraform

CloudFormation

IAM/Access governance tools

Bitbucket

Job description

Clark Capital Management Group is seeking a Data & Cloud Engineer to design, build, and support the data pipelines and cloud infrastructure that power our reporting, analytics, applications, and AI capabilities.

The ideal candidate will bring five or more years of experience in data engineering, cloud engineering, platform engineering, or a related discipline, with hands-on experience developing production ETL/ELT pipelines, working with Snowflake, and administering AWS resources.