Senior Cloud Data Platform Engineer
Role: Senior Cloud (AWS) Data Platform Engineer
Location: McKinney, TX (100% onsite)
Contract Role
Note: We only need local candidates as there is a In-person client interview.
Role Summary
We are looking for a Senior Cloud (AWS) Data Platform Engineer with deep expertise in AWS, and understanding of Microsoft Azure, and hands-on experience deploying and operating data integration pipelines.
This role will be responsible for designing, deploying, integrating, and supporting a production-grade data platform that includes AWS services, Azure SQL MI, Snowflake supporting enterprise-scale analytics and reporting workloads.
Key Responsibilities
Cloud & Infrastructure
Design, deploy, and manage AWS infrastructure supporting data ingestion, processing, and integration workloads.
Integrate AWS-hosted services with Microsoft Azure components, including Azure SQL Managed Instance, APIs
Deploy and manage VMs, networking, security, scaling across cloud environments.
Implement Infrastructure as Code (IaC) using Terraform / CloudFormation / ARM where applicable.
Manage cloud networking (VPC/VNet, subnets, routing, private endpoints, security groups, NSGs).
Data Integration & Analytics
Deploy, configure, and operate for:
o Snowflake ingestion
o Replication and nightly ETL processing
o API-based data ingestion
Support Snowflake environments, including connectivity, performance tuning, and data movement.
Ensure reliable data pipelines feeding enterprise Data Warehouse
Work closely with application platforms (e.g., Out Systems, APIs) to enable secure and scalable data exchange.
Operations & Reliability
Own production support for cloud data platforms, including incident resolution and performance tuning.
Implement monitoring, logging, alerting, and cost-optimization strategies across AWS and Azure.
Ensure security best practices (IAM, encryption, secrets management, network isolation).
Maintain operational documentation, runbooks, and architecture diagrams.
Collaboration & Governance
Partner with data engineers, analytics teams, and application teams to deliver end-to-end solutions.
Work with security and compliance teams to meet enterprise governance standards.
Support audits, DR planning, and high-availability setups.
Mandatory Technical Skills
AWS (Strong Expertise)
EC2, VPC, IAM, S3, RDS
Security groups, NACLs, routing, private connectivity
Monitoring (CloudWatch), logging, and cost management
Data & ETL
Deployment, configuration, operations)
Snowflake (data loading, performance, integrations)
SQL Server / SQL MI
DevOps & Automation
Terraform / ARM / CloudFormation
CI/CD pipelines
Scripting (Python, Bash, PowerShell preferred)
Good-to-Have Skills
Experience with multi-cloud architectures (AWS Azure)
API integration patterns (REST, authentication, throttling)
Experience with regulated or enterprise-scale production environments
ServiceNow or ITSM-based operational support
Behavioral Expectations
Strong ownership mindset for production systems
Ability to work independently in complex environments
Clear communication with technical and non-technical stakeholders
Proactive problem-solving and continuous improvement focus
Location: McKinney, TX (100% onsite)
Contract Role
Note: We only need local candidates as there is a In-person client interview.
Role Summary
We are looking for a Senior Cloud (AWS) Data Platform Engineer with deep expertise in AWS, and understanding of Microsoft Azure, and hands-on experience deploying and operating data integration pipelines.
This role will be responsible for designing, deploying, integrating, and supporting a production-grade data platform that includes AWS services, Azure SQL MI, Snowflake supporting enterprise-scale analytics and reporting workloads.
Key Responsibilities
Cloud & Infrastructure
Design, deploy, and manage AWS infrastructure supporting data ingestion, processing, and integration workloads.
Integrate AWS-hosted services with Microsoft Azure components, including Azure SQL Managed Instance, APIs
Deploy and manage VMs, networking, security, scaling across cloud environments.
Implement Infrastructure as Code (IaC) using Terraform / CloudFormation / ARM where applicable.
Manage cloud networking (VPC/VNet, subnets, routing, private endpoints, security groups, NSGs).
Data Integration & Analytics
Deploy, configure, and operate for:
o Snowflake ingestion
o Replication and nightly ETL processing
o API-based data ingestion
Support Snowflake environments, including connectivity, performance tuning, and data movement.
Ensure reliable data pipelines feeding enterprise Data Warehouse
Work closely with application platforms (e.g., Out Systems, APIs) to enable secure and scalable data exchange.
Operations & Reliability
Own production support for cloud data platforms, including incident resolution and performance tuning.
Implement monitoring, logging, alerting, and cost-optimization strategies across AWS and Azure.
Ensure security best practices (IAM, encryption, secrets management, network isolation).
Maintain operational documentation, runbooks, and architecture diagrams.
Collaboration & Governance
Partner with data engineers, analytics teams, and application teams to deliver end-to-end solutions.
Work with security and compliance teams to meet enterprise governance standards.
Support audits, DR planning, and high-availability setups.
Mandatory Technical Skills
AWS (Strong Expertise)
EC2, VPC, IAM, S3, RDS
Security groups, NACLs, routing, private connectivity
Monitoring (CloudWatch), logging, and cost management
Data & ETL
Deployment, configuration, operations)
Snowflake (data loading, performance, integrations)
SQL Server / SQL MI
DevOps & Automation
Terraform / ARM / CloudFormation
CI/CD pipelines
Scripting (Python, Bash, PowerShell preferred)
Good-to-Have Skills
Experience with multi-cloud architectures (AWS Azure)
API integration patterns (REST, authentication, throttling)
Experience with regulated or enterprise-scale production environments
ServiceNow or ITSM-based operational support
Behavioral Expectations
Strong ownership mindset for production systems
Ability to work independently in complex environments
Clear communication with technical and non-technical stakeholders
Proactive problem-solving and continuous improvement focus
