T.D. Williamson, Inc.
Manager, Database Management page is loaded## Manager, Database Managementlocations:
USA, OK, Tulsatime type:
Full timeposted on:
Posted 2 Days Agojob requisition id:
REQ-03138### **At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.***Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.***Overview**T.D. Williamson is seeking a Manager of Database Management. The roles will oversee the data management strategy, overseeing database platforms and data lake environments that enable global decision-making. This role ensures reliable, scalable, and secure data systems while driving modernization initiatives in alignment with business goals. The ideal candidate combines strong leadership capabilities with deep hands-on technical expertise in Microsoft’s data ecosystem — including SQL Server, Microsoft Fabric, Dataverse, and modern cloud data services. **Key Responsibilities****Leadership & Team Management*** Lead, mentor, and develop a team of database administrators and data platform specialists.* Defines and governs TDW’s enterprise data architecture, including data lakehouse environments, warehouse design, and data pipelines across cloud and on-prem platforms.* Establish performance goals, oversee workload distribution, and guide professional development.* Partner with stakeholders and technical teams to align database strategy with enterprise initiatives.**Data Platform Strategy & Analytics Support*** Partner with application, engineering, and analytics teams to support data modeling, ETL/ELT processes, and BI workloads.* Drive the adoption of modern data warehousing practices and enterprise semantic data models.* Provide architectural oversight for data migration, cloud modernization, and system integrations.* Drives the roadmap for enterprise data management maturity, identifying opportunities for automation, AI integration, and data democratization.**Microsoft Data Stack Expertise*** Serve as the organizational SME for Microsoft SQL Server, Power BI, Dataverse, Microsoft Fabric, Azure SQL, and related tools.* Guide teams in leveraging Fabric’s end-to-end analytics capabilities and Dataverse’s business data structure.* Evaluate and implement enhancements to improve data accessibility, governance, and analytics maturity. **Technology Evaluation & Innovation*** Assess third-party tools and emerging technologies, including ingestion/ELT solutions like **Fivetran**.* Explore and recommend opportunities to leverage **Microsoft AI tools**, including **AI Foundry**, for automation and predictive insights.* Drive continuous modernization of the data platform to support evolving business and digital-product needs. **Required Qualifications*** Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience.* 7+ years of experience in database administration, database engineering, or data platform leadership.* Data Lakes & Pipelines: Experience designing ingestion, transformation, and orchestration flows (Fivetran, ADF, Fabric Data Factory, etc.).* Proven track record leading technical teams or serving in a senior/architect-level database role.* Strong analytical mindset with the ability to troubleshoot complex data and performance issues.* Familiarity with **Microsoft AI Foundry**, Azure AI Studio, Copilot integrations, or other AI-driven data tooling.* Knowledge of data cataloging and governance tools such as Microsoft Purview or Fabric Data Activator. **Soft Skills & Leadership Expectations*** Strong leadership presence with the ability to influence and collaborate across departments.* Comfortable driving modernization in environments transitioning from on-prem to cloud.* Excellent communication skills — able to break down complex data concepts for both technical and non-technical audiences.* Proactive mindset with a passion for system reliability, process improvement, and enabling data-driven decision-making.* Comfortable taking ownership on initiatives and driving results. #J-18808-Ljbffr
USA, OK, Tulsatime type:
Full timeposted on:
Posted 2 Days Agojob requisition id:
REQ-03138### **At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.***Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.***Overview**T.D. Williamson is seeking a Manager of Database Management. The roles will oversee the data management strategy, overseeing database platforms and data lake environments that enable global decision-making. This role ensures reliable, scalable, and secure data systems while driving modernization initiatives in alignment with business goals. The ideal candidate combines strong leadership capabilities with deep hands-on technical expertise in Microsoft’s data ecosystem — including SQL Server, Microsoft Fabric, Dataverse, and modern cloud data services. **Key Responsibilities****Leadership & Team Management*** Lead, mentor, and develop a team of database administrators and data platform specialists.* Defines and governs TDW’s enterprise data architecture, including data lakehouse environments, warehouse design, and data pipelines across cloud and on-prem platforms.* Establish performance goals, oversee workload distribution, and guide professional development.* Partner with stakeholders and technical teams to align database strategy with enterprise initiatives.**Data Platform Strategy & Analytics Support*** Partner with application, engineering, and analytics teams to support data modeling, ETL/ELT processes, and BI workloads.* Drive the adoption of modern data warehousing practices and enterprise semantic data models.* Provide architectural oversight for data migration, cloud modernization, and system integrations.* Drives the roadmap for enterprise data management maturity, identifying opportunities for automation, AI integration, and data democratization.**Microsoft Data Stack Expertise*** Serve as the organizational SME for Microsoft SQL Server, Power BI, Dataverse, Microsoft Fabric, Azure SQL, and related tools.* Guide teams in leveraging Fabric’s end-to-end analytics capabilities and Dataverse’s business data structure.* Evaluate and implement enhancements to improve data accessibility, governance, and analytics maturity. **Technology Evaluation & Innovation*** Assess third-party tools and emerging technologies, including ingestion/ELT solutions like **Fivetran**.* Explore and recommend opportunities to leverage **Microsoft AI tools**, including **AI Foundry**, for automation and predictive insights.* Drive continuous modernization of the data platform to support evolving business and digital-product needs. **Required Qualifications*** Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience.* 7+ years of experience in database administration, database engineering, or data platform leadership.* Data Lakes & Pipelines: Experience designing ingestion, transformation, and orchestration flows (Fivetran, ADF, Fabric Data Factory, etc.).* Proven track record leading technical teams or serving in a senior/architect-level database role.* Strong analytical mindset with the ability to troubleshoot complex data and performance issues.* Familiarity with **Microsoft AI Foundry**, Azure AI Studio, Copilot integrations, or other AI-driven data tooling.* Knowledge of data cataloging and governance tools such as Microsoft Purview or Fabric Data Activator. **Soft Skills & Leadership Expectations*** Strong leadership presence with the ability to influence and collaborate across departments.* Comfortable driving modernization in environments transitioning from on-prem to cloud.* Excellent communication skills — able to break down complex data concepts for both technical and non-technical audiences.* Proactive mindset with a passion for system reliability, process improvement, and enabling data-driven decision-making.* Comfortable taking ownership on initiatives and driving results. #J-18808-Ljbffr