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An established industry player is looking for a Senior Database Administrator to manage and optimize SQL and NoSQL databases in a dynamic environment. This client-facing role requires expertise in performance tuning, data security, and automation scripting. You will play a crucial role in ensuring the availability and security of databases that support analytics and AI workloads. Join a team that values collaboration and innovation, and make a significant impact on data management practices while enjoying a competitive salary and benefits package.
This is a client-facing, onsite role based in Riyadh, Saudi Arabia, requiring travel on a business visa (individual only). The assignment follows a cyclical travel pattern approximately one month in Riyadh, followed by one week in India, based on project needs.
We are seeking a Senior Database Administrator (DBA) with deep expertise in managing and optimizing SQL and NoSQL databases in on-premise environments. The ideal candidate will play a key role in ensuring performance, availability, and security of databases supporting analytics and AI workloads.
Key Responsibilities:Administer, monitor, and optimize relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases.
Ensure performance tuning, indexing, query optimization, and partitioning for high efficiency.
Maintain and optimize data pipelines and ETL workflows for real-time and batch processing.
Implement high availability, backup, and disaster recovery strategies.
Enforce robust data security, including encryption, masking, and PII protection.
Design and maintain database schemas tailored for analytics use cases.
Automate routine database operations using Python and Bash scripting.
Collaborate closely with data engineers, analysts, and data scientists.
Maintain comprehensive documentation across pre-build, build, and post-production phases.
10+ years of hands-on experience managing SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB).
Deep understanding of database performance tuning, space optimization, and partitioning.
Strong skills in data security practices (encryption, masking, PII compliance).
Scripting experience using Python or Bash for automation.
Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
Strong documentation skills across the database lifecycle.
Exposure to data privacy regulations like GDPR or HIPAA.
Experience in hybrid (on-prem + cloud) environments.
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