> Markdown version of [/jobs/ext/4626508-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4626508-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Noblesoft Technologies - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Amazon S3, Data Analysis, User Authentication, Backup Devices, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Data Architecture, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Sharing, DevOps, Disaster Recovery, Github, Identity and Access Management, OpenFlow, Operational Databases, Role-Based Access Control, Azure Active Directory, Cloud Services, Single Sign-On, Systems Integration, Sql Optimization, System Availability, Snowflake, Infrastructure Automation Frameworks, Deployment Automation, Terraform, Confluent - **Published:** November 7, 2026 - **Apply:** https://www.adzuna.com/details/5955034541 ## About the Role Strong experience administering Snowflake in enterprise environments. Advanced SQL skills for administration, troubleshooting, optimization, and platform support. Deep understanding of: Snowflake Security Role-Based Access Control (RBAC) Single Sign-On (SSO) Identity and Access Management (IAM) Cloud security principles Experience supporting highly available production data platforms. Strong understanding of operational support, monitoring, incident management, and platform reliability. Experience with cloud-native architectures and services. ## Description The ideal candidate possesses strong expertise in Snowflake administration, data platform security, cloud infrastructure, and operational support. This individual will work closely with Data Architects, Data Engineers, Analytics teams, Security teams, and Business stakeholders to deliver a highly available, governed, and scalable data ecosystem. Data Platform Administration & Operations Administer and support Snowflake environments across development, testing, and production. Monitor platform performance, usage, storage, and compute consumption to optimize cost and performance. Manage platform upgrades, deployments, and operational health checks. Troubleshoot and resolve platform, connectivity, authentication, and performance issues. Establish operational standards, monitoring, alerting, and incident management processes. Maintain platform resiliency, disaster recovery, backup, and business continuity strategies. Security & Governance Design, implement, and maintain Snowflake security frameworks using Role-Based Access Control (RBAC). Configure and support Single Sign-On (SSO), Azure Entra ID integration, and identity federation. Enforce data security, privacy, and governance standards across the platform. Implement least-privilege access models and support audit/compliance requirements. Collaborate with cybersecurity teams to ensure adherence to enterprise security policies. Cloud Infrastructure & Networking Manage integrations between Snowflake and cloud services including Azure Blob Storage and AWS S3. Configure and support private connectivity solutions, including Private Link architectures. Partner with cloud infrastructure teams to design scalable and secure data platform environments. Support cloud networking, authentication, encryption, and connectivity requirements. Data Integration & Platform Ecosystem Support enterprise data ingestion and transformation platforms including Matillion (Maia). Administer and support metadata and governance solutions such as Atlan. Manage integrations with Confluent Cloud and Snowflake Openflow for real-time and event-driven data architectures. Enable secure and efficient data sharing across internal and external consumers. Platform Automation & DevOps Develop Infrastructure-as-Code (IaC) solutions using Terraform. Implement CI/CD pipelines utilizing GitHub and cloud-native deployment tools. Automate platform provisioning, configuration, monitoring, and operational workflows. Support DevOps best practices and continuous platform improvement initiatives.