Role : Senior Cloud (AWS) Data Platform Engineer
Location : McKinney, TX (100% onsite) – Face to face required. Need candidates from local or drivable distance who can go for inperson interview
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., OutSystems, 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