Senior Cloud Data Engineer – Python + AWS

Premier Inn Hotels LLC (UAE); Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Premier Inn Hotels LLC (UAE) is seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms on AWS in Plano, TX. You will build data pipelines, data lakes, and automation with Python and Terraform, while enforcing security and governance.

The role emphasizes CI/CD, monitoring with CloudWatch and Splunk, and collaboration with engineers and stakeholders to deliver reliable data solutions using Snowflake and modern data tooling.

Qualifications

• 6+ years of professional experience in cloud data engineering or a related field.
• Strong experience with AWS Glue, Amazon S3, AWS Lambda, AWS Step Functions, AWS Lake Formation, Snowflake, Terraform / IaC, CI/CD, Git/Bitbucket, and Jenkins.
• Experience with data lakes, data pipelines, security and governance practices.

Responsibilities

• Design and develop scalable AWS data pipelines and data lake solutions.
• Build data processing workflows using AWS Glue, S3, Lambda, and Step Functions.
• Implement data governance and security controls with AWS Lake Formation.
• Develop automation and integrations using Python, Boto3, and AWS APIs.
• Manage cloud infrastructure with Terraform and IaC practices.
• Develop, test, and deploy data pipelines using CI/CD pipelines.
• Work with Snowflake and modern data platforms.
• Monitor and troubleshoot production workloads with CloudWatch and Splunk.
• Collaborate with engineers, architects, and stakeholders.

Skills

AWS

Python

Snowflake

Terraform

CI/CD

Git/Bitbucket

Jenkins

CloudWatch

Splunk

Tools

AWS Glue

Amazon S3

AWS Lambda

AWS Step Functions

Terraform / IaC

Snowflake

Git/Bitbucket

Job description

Plano, United States | Posted on 09/24/2026

USC/GC/GC EAD Only- W2Requirement

Note: No third party/C2Cor 1099

Job Description

We are seeking a Senior Cloud Data Engineer to design, develop, and maintain scalable data platforms and pipelines on AWS.

The ideal candidate will have strong AWS, Python, Snowflake, Terraform, and CI/CD experience, along with a solid understanding of cloud data engineering, data lakes, automation, security, and governance.

Responsibilities

Design and develop scalable AWS data pipelines and data lake solutions.

Build data processing workflows using AWS Glue, S3, Lambda, and Step Functions .

Implement data governance, security, and access controls using AWS Lake Formation .

Develop automation and integrations using Python, Boto3, and AWS APIs .

Build and manage cloud infrastructure using Terraform .

Develop, test, and deploy data pipelines using CI/CD practices.

Work with Snowflake and modern data platforms.

Monitor, troubleshoot, and optimize production workloads using CloudWatch and Splunk .

Collaborate with engineers, architects, and stakeholders.

Utilize AI-assisted development tools such as GitHub Copilot, Claude, and agentic workflows.

Required Qualifications

6+ years of professional experience in cloud data engineering or a related field.

Strong experience with:

• AWS Glue
• Amazon S3
• AWS Lambda
• AWS Step Functions
• AWS Lake Formation
• Experience with Snowflake .
• Experience with Terraform / Infrastructure as Code .
• Experience with CI/CD, Git/Bitbucket, and Jenkins .
• Experience with software testing, release processes, and production deployments.
• Strong understanding of data lake architecture and cloud data pipelines.