> Markdown version of [/jobs/ext/4441703-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4441703-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). --- # Platform Engineer - **Company:** Gravity It - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Access, Active Directory, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, User Authentication, Authentication Protocols, Microsoft Azure, Cloud Database, Cyber Security, Information Systems, Databases, System Configuration, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), OAuth, Microsoft Copilot, Security Assertion Markup Language (SAML), Single Sign-On, SQL Databases, Tableau (Software), User Provisioning Software, Scripting, Google Cloud, Cloud Platform System, Snowflake, Agentic-AI, Information Technology, Enterprise Integration, Data Management, Alteryx - **Published:** October 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/db31c600-b00a-42ed-b89f-ea681617dbae/platform-engineer ## About the Role The primary technologies supporting the environment include Sigma, Snowflake, Tableau, Alteryx, Alation, dbt, and Palantir. Sigma experience is the highest priority, followed by Snowflake. Candidates with deep hands-on administration experience in at least one data platform are encouraged to apply and should demonstrate the ability and willingness to learn additional technologies., The ideal candidate is technically curious, comfortable working independently, and interested in using automation, scripting, and AI-enabled tools to improve platform administration and provisioning., * 2+ years of hands-on experience administering a data platform, cloud data platform, analytics platform, or similar technical environment. \n * Strong hands-on expertise in at least one data platform, with the ability and willingness to learn additional platforms. \n * Experience with Sigma and/or Snowflake strongly preferred, with Sigma experience being particularly valuable. \n * Strong understanding of user provisioning, permissions, security roles, authentication, workspaces, schemas, databases, and platform configuration. \n * Proficiency with SQL. \n * Experience with Python or another scripting language for automation. \n * Understanding of data warehousing, databases, and ETL/ELT concepts. \n * Experience troubleshooting technical issues involving data platforms, connectivity, access, and configuration. \n * Strong problem-solving and analytical skills. \n * Strong communication, documentation, and organizational skills. \n * Ability to work independently while collaborating effectively with cross-functional technical teams. \n * Demonstrated interest in automation and emerging AI technologies and the ability to identify opportunities to improve administrative processes. \n, * Experience administering Sigma, Snowflake, Tableau, Alteryx, Alation, dbt, or Palantir. \n * Experience with cloud platforms such as Azure, AWS, or Google Cloud. \n * Experience with APIs, custom integrations, or automated provisioning. \n * Experience using AI-assisted development tools, AI agents, Copilot-style tools, or similar technologies to automate workflows. \n * Experience with enterprise-scale data environments. \n * Knowledge of Active Directory, SAML, SSO, OAuth, or other authentication mechanisms. \n * Knowledge of information security, data governance, and compliance practices. \n * Relevant certifications in Snowflake, Sigma, Tableau, Alteryx, or other data platforms are a plus but are not required. \n * Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. \n ## Description The Data Platform Administrator will serve as the primary administrator and owner for the organization's cloud-based data and analytics platforms, ensuring they are secure, reliable, well-governed, and enabled for business and data teams., * Serve as the primary administrator and point of contact for assigned cloud-based data and analytics platforms.