SQL Server DBA Architect |Reading| PA | Hybrid Job|

Job highlights
Identified by Google from the original job post
Qualifications
Looking for a highly skilled Microsoft SQL Server DBA/Architect/SME Consultant who can provide both hands-on expertise in managing, optimizing, and scaling SQL Server environments, as well as strategic guidance in assessing current database systems and recommending future-state architectures
15+ years of experience as an MS SQL Server DBA/Architect/Consultant, with a focus on both on-premises and cloud (Azure) environments
The ideal candidate will have deep experience with both on-premises SQL Server environments and Azure cloud-based solutions
Certifications such as Microsoft Certified: Azure Database Administrator Associate, Azure Solutions Architect Expert, or equivalent
Experience with other database platforms (e.g., Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., Cosmos DB, MongoDB)
Familiarity with DevOps practices, CI/CD pipelines, and tools such as Jenkins, Azure DevOps, and Git
Experience with Power BI, SSRS, and other data visualization and reporting tools
Expertise in Microsoft SQL Server (versions 2012 to 201+) and Azure SQL Database, SQL Managed Instance, Azure Synapse Analytics, and other Azure data services
Strong experience with database performance tuning, optimization, and indexing strategies
Proficiency in instance consolidation strategies and practices to optimize resources and reduce costs
Knowledge of Azure cloud architecture, including PaaS, IaaS, and hybrid solutions
Proficiency in T-SQL, PowerShell scripting, and automation tools
Experience with SQL Server Always On Availability Groups, clustering, log shipping, and other HA/DR strategies
Experience with data warehousing concepts, ETL processes, and tools like SSIS and Azure Data Factory
Responsibilities
This role will involve working closely with technical teams, business stakeholders, and clients to design, implement, and maintain robust database solutions that meet business needs and support digital transformation initiatives
Job description
SQL Server DBA Architect

Reading, PA (Hybrid Job)

Duration: 6 to 36 months
• Looking for a highly skilled Microsoft SQL Server DBA/Architect/SME Consultant who can provide both hands-on expertise in managing, optimizing, and scaling SQL Server environments, as well as strategic guidance in assessing current database systems and recommending future-state architectures.
• 15+ years of experience as an MS SQL Server DBA/Architect/Consultant, with a focus on both on-premises and cloud (Azure) environments. The ideal candidate will have deep experience with both on-premises SQL Server environments and Azure cloud-based solutions.
• This role will involve working closely with technical teams, business stakeholders, and clients to design, implement, and maintain robust database solutions that meet business needs and support digital transformation initiatives.
• Certifications such as Microsoft Certified: Azure Database Administrator Associate, Azure Solutions Architect Expert, or equivalent.
• Experience with other database platforms (e.g., Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., Cosmos DB, MongoDB).
• Familiarity with DevOps practices, CI/CD pipelines, and tools such as Jenkins, Azure DevOps, and Git.
• Experience with Power BI, SSRS, and other data visualization and reporting tools.
• Expertise in Microsoft SQL Server (versions 2012 to 201+) and Azure SQL Database, SQL Managed Instance, Azure Synapse Analytics, and other Azure data services.
• Strong experience with database performance tuning, optimization, and indexing strategies.
• Proficiency in instance consolidation strategies and practices to optimize resources and reduce costs.
• Knowledge of Azure cloud architecture, including PaaS, IaaS, and hybrid solutions.
• Proficiency in T-SQL, PowerShell scripting, and automation tools.
• Experience with SQL Server Always On Availability Groups, clustering, log shipping, and other HA/DR strategies.
• Experience with data warehousing concepts, ETL processes, and tools like SSIS and Azure Data Factory.