The ideal candidate combines strong people leadership with deep technical knowledge of enterprise data platforms, data engineering practices, and cloud-based analytics environments. This manager will be responsible for operational excellence across the data platform, including data pipeline reliability, platform monitoring, health checks, standards enforcement, cost management, governance, and continuous improvement initiatives.
The role requires an individual who can balance the support of legacy SAP BW solutions while accelerating adoption and optimization of Microsoft Fabric, Azure Data Factory, and Medallion Architecture principles.
This position offers the chance to build and improve an accelerating deployment.
What You’ll Do
Team Leadership & Talent Development
Establish performance expectations, career development plans, and technical growth opportunities.
Foster a culture of accountability, collaboration, operational excellence, and continuous learning.
Manage staffing, workload prioritization, and resource allocation across multiple projects and operational responsibilities.
Data Platform Leadership
Own operational health and performance of enterprise data platforms, including SAP BW and Microsoft Fabric.
Lead the ongoing transition from legacy data architectures to modern cloud-based data engineering solutions.
Ensure reliable and scalable data ingestion, transformation, and orchestration pipelines.
Fabric & Data Engineering Governance
Provide oversight of Bronze and Silver layers within the Medallion Architecture.
Establish and enforce standards
Drive improvements in data quality, lineage, observability, and compliance.
Platform Operations & Cost Management
Implement and manage platform monitoring, health checks, alerting, and operational dashboards.
Optimize Fabric capacity utilization and cloud consumption costs.
Develop strategies to balance performance, scalability, and cost efficiency.
Strategic Planning & Execution
Partner with business leaders, enterprise architects, and analytics teams to develop and execute data platform roadmaps.
Support enterprise data modernization and cloud transformation initiatives.
Maintain alignment between business priorities and technology investments.
