Data Management Gateway Azure Data Lake Support (Azure Data Base Admin)

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Management Gateway Azure Data Lake Support (Azure Database Admin) in United States. This role focuses on supporting and administering cloud-based data platforms within an Azure Data Lake and Databricks environment. You will be responsible for ensuring secure, efficient, and reliable data access and integration across enterprise data workflows. The position involves managing user provisioning, access control, and platform configuration while supporting data pipeline operations and system integrations. You will work closely with engineering and data teams to maintain high availability and performance of data services. The environment is highly cloud-centric and requires strong operational discipline across Azure-based data services. This is a contract opportunity ideal for professionals experienced in cloud database administration and data platform support.
• Accountabilities: Manage and support Azure-based data environments, including Azure Data Lake and related database services. Handle user provisioning, access control, and security configurations across data platforms. Support Databricks cluster and endpoint management to ensure stable and efficient processing environments. Monitor, maintain, and troubleshoot Azure Data Factory pipelines and data workflows. Assist in application integration and data connectivity across enterprise systems. Participate in project implementation activities related to data platform enhancements and deployments. Ensure compliance with data governance, security, and operational standards. Requirements: Proven experience as a Database Administrator with strong expertise in Microsoft Azure environments. Hands-on experience with Azure Data Lake, Databricks, and Azure Data Factory. Strong understanding of user access management, identity provisioning, and security controls in cloud environments. Experience supporting data pipelines and enterprise data integration workflows. Familiarity with application integration and cloud-based data architecture. Strong troubleshooting and problem-solving skills in production data environments. Ability to work independently in a remote contract setting. Excellent communication skills and ability to collaborate with technical teams. Must be a US citizen, Green Card holder, TN visa holder, GC EAD, or H4 EAD (no third-party C2C). Benefits: Competitive hourly rate based on experience (contract position). Fully remote work arrangement. Opportunity to work with modern Azure data platforms and cloud-native architectures. Exposure to enterprise-scale data engineering and integration projects. Collaborative environment working with data engineering and application teams. Short-term contract with potential for extension based on performance and project needs.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
• apply for this job