Senior Database Administrator

Be at the Forefront of the Agentic AI Revolution At Skan AI, you'll be part of the team pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work. Why Join Skan AI We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes. Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises. Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself. Position Summary We are seeking a Senior Database Administrator (DBA) with deep, hands-on expertise across PostgreSQL, MongoDB, and Databricks to own the health, performance, scalability, and reliability of our large-scale data environments. This is a highly technical role for someone who thrives on operating databases at very high data volumes and who takes pride in building systems that are fast, resilient, and cost-efficient. The primary focus of this role is administration and platform engineering: configuring, setting up, and continuously optimizing database platforms; instrumenting comprehensive monitoring and metrics; right-sizing environments in response to changing demand; and standing up schemas and configurations aligned to evolving requirements. As a secondary but important focus, the role supports data analysis activities, troubleshoots production data issues, plans capacity, performs maintenance, and takes proactive action to prevent outages before they occur. The ideal candidate is technically outstanding across all three platforms, highly collaborative, and genuinely eager to learn and grow as our data estate and technology stack evolve. Primary Responsibilities — Database Administration & Platform Engineering Configuration, Setup & Optimization Provision and configure PostgreSQL, MongoDB, and Databricks environments from the ground up, applying tuned parameters, storage layouts, and connection strategies appropriate to very large data volumes. Optimize database configuration on an ongoing basis — memory, buffers, connection pooling, indexing strategy, partitioning/sharding, vacuum/compaction, query planning, and workload isolation — to sustain…