Cloud Data Platform engineer

Job Title : Senior Cloud Data Platform Engineer

Location : McKinney, TX (Onsite & Hybrid)

Experience : 10 years (with strong hands-on cloud & data platform experience)

Job Type : C2C or W2

Role Summary

We are looking for a Senior Cloud 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:
  • Snowflake ingestion
  • Replication and nightly ETL processing
  • 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.

Azure (Integration & Deployment)

• Azure SQL Managed Instance.
• Azure Networking (VNet, Private Endpoints, NSGs).
• Azure APIs and integrations.
• Power BI connectivity and data refresh pipelines.

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.