Manager, Database Management

Manager, Database Management page is loaded## Manager, Database Management locations:
USA, OK, Tulsatime type:
Full time posted on:
Posted 2 Days Agojob requisition :
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.
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