Salary Range

• $145,000.00 - $155,000.00 Salary/year
• Position Type
• Full Time
• Education Level
• Not Specified
• Category
• Information Technology
• Description
• 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.
• Qualifications

• Required Skills and Qualifications:

• + •

Core Database Expertise:

• Mastery of SQL Server internals, advanced T-SQL engineering, concurrency control, and relational database design. +

• Azure Data Platforms:

• In-depth, practical experience managing Azure SQL Managed Instances and associated high-availability architectures. +

• Cloud Networking:

• Strong command of Azure networking concepts, including VNets, subnets, DNS, custom routing, private connectivity, network security groups (NSGs), hybrid connectivity, and latency optimization. +

• Automation & DevOps Tooling:

• Proven experience with Git, CI/CD platforms, and Infrastructure as Code frameworks (Terraform, Bicep, or ARM templates). +

• Security Frameworks:

• Solid understanding of modern identity management, encryption at rest/in transit, and cloud auditing compliance. +
• CompTIA Security+
• + •Ability to successfully pass a security screening•Preferred Qualifications•+ Proven track record of executing large-scale Oracle-to-Azure database migrations.

+ Familiarity with vector databases, AI integration frameworks, and specialized big data analytics solutions.

• _Broadleaf Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability or veteran status._

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