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.