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Senior Cloud (AWS) 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., 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 | ||||||