Why This Role Stands Out
This remote SQL Architect role offers you the chance to leverage your deep expertise in SQL Server architecture, HA/DR, and cloud migration to drive innovative solutions, while also developing cutting-edge skills in AI-assisted engineering. If you thrive on complex technical challenges and enjoy collaborating on high-impact projects, this opportunity is perfect for you to make a significant contribution.
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
2 weeks ago
SQLSQL ServerAzureCloudFormationGitLLMPythonTerraform
Job Description
Job title: SQL Architect
Location: Remote
Duration: 6+ months
Below is the list of requirements we would need from a candidate.
- SQL Server Architect Required Skills
- Deep SQL Server architecture & internals query engine, storage engine, transaction/locking/isolation levels, execution plan internals; 15+ yrs hands-on, architect-level design authority (not admin-level)
- HA/DR design mastery Always on AGs, clustering, replication topologies; able to architect DR strategy across on-prem VMs and hybrid cloud, not just configure it
- Cloud migration engineering hands-on RDS for SQL Server (and/or Azure SQL/MI) migration mechanics: DMS, native backup/restore, licensing model trade-offs (BYOL vs. License Included)
- Strong Python scripting automation, tooling, and integration development; not "can write a script" but production-grade automation engineering
- AI-assisted engineering fluency daily hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, or similar) to accelerate schema design, query optimization, and code review
- LLM/agentic infrastructure exposure working knowledge of embeddings, vector databases, RAG, and semantic search as they intersect with data platform design
- AI-enabled database operations experience evaluating or building AI-driven observability, anomaly detection, or self-healing/auto-remediation tooling for database platforms
- MCP / tool-integration awareness familiarity with Model Context Protocol or comparable frameworks for connecting AI agents to data systems
- Performance engineering at scale wait-stats methodology, indexing strategy, parameter sniffing mitigation demonstrable via live plan-reading, not resume claims
- IaC & CI/CD fluency Terraform/CloudFormation, Git, automated pipelines for database deployment and change management
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