Cloud Database Platform Engineer

Cloud Database Platform Engineer

Location: Remote

Clearance Requirement: Must be a US citizen and hold a current Tier 1 DOD background investigation or DoD clearance

We are seeking a Cloud Database Platform Engineer to design, scale, and automate our next-generation data platform. This is not a traditional, server-bound DBA role; it is a highly technical, engineering-focused position centered on automated cloud platforms, infrastructure as code, and data engineering fundamentals. In this role, you will transition our traditional database infrastructure into fully automated, cloud-native architectures, ensuring high availability, robust security, and peak performance for enterprise workloads.

Key Responsibilities

• Database Engineering & Optimization: Maintain core database health with a deep focus on SQL Server and T-SQL performance tuning. Analyze execution plans, design advanced indexing strategies, manage statistics, resolve blocking/deadlocks, and proactively troubleshoot query regressions.
• Cloud Architecture & Lifecycle Management: Architect, provision, and maintain Azure SQL Managed Instances (MI). Define service tiers, calculate vCore/storage sizing, configure instances, and establish robust automated backup and restore testing procedures.
• Data Platform Migrations: Lead complex migration initiatives transferring workloads from on-premises SQL Server (and ideally Oracle) to Azure SQL MI. Own the entire lifecycle: dependency discovery, compatibility assessment, migration rehearsal, validation, cutover, and rollback planning.
• Infrastructure as Code & Automation: Treat database infrastructure as software. Utilize PowerShell, Azure CLI, Git, and Bicep/ARM or Terraform to construct repeatable, automated database environments and standard operations.
• Database DevOps Implementation: Establish database DevOps paradigms. Implement source-controlled schema changes, build CI/CD deployment pipelines, execute peer reviews, and orchestrate pre/post-deployment validation with clear rollback procedures.
• Cloud Security & Identity Management: Secure the data estate by enforcing least-privilege access using Microsoft Entra ID, database roles, and managed identities.
• Oversee secrets management, auditing, encryption, and regular privileged-access reviews.
• Telemetry & Operational Discipline: Design end-to-end monitoring using Azure Monitor and Log Analytics. Build query telemetry pipelines, establish proactive alerting, author runbooks, and manage capacity, service-level objectives (SLOs), and cost-to-performance ratios.
• Modern Data & AI Platform Awareness: Support AI-enabled enterprise applications by bridging the gap between database platforms and data pipelines. Provide foundational support for data governance, quality, metadata management, embeddings/vector search, and Retrieval-Augmented Generation (RAG) patterns, advising on when to integrate MI with specialized analytics or search engines.