Purpose
The Senior Power Platform & Analytics Enablement Engineer is responsible for the engineering, governance, and enablement of Microsoft Power Platform solutions within a Cloud Data & Analytics ecosystem based on Azure Lakehouse architecture. This role acts as a bridge between Self-Service BI teams and the governed Azure backend, ensuring analytics solutions are reliable, secure, scalable, and compliant while supporting enterprise data-driven decision-making.
Team / Project Description
The Cloud Data & Analytics team is responsible for delivering a scalable Azure Lakehouse platform and enabling enterprise-wide self-service analytics through the Microsoft Power Platform. The team collaborates closely with business, governance, and engineering stakeholders to ensure secure, compliant, and high-quality data products across international teams.
WHAT WILL YOU DO?
- Design, implement, and operate Microsoft Power Platform solutions including Power BI, Power Apps, Power Automate, and SharePoint Online in alignment with enterprise standards.
- Act as the technical bridge between Self-Service BI teams and governed Azure Lakehouse backends, enabling secure and reliable analytics solutions.
- Configure and manage Power BI Service and Desktop environments, including workspaces, datasets, gateways, refresh schedules, and capacity planning.
- Establish and enforce governance, security, and lifecycle management standards across Power Platform solutions, covering access control, privacy, and compliance requirements.
- Integrate Power Platform solutions with Cloud Data & Analytics services such as Azure Data Factory, Databricks, dbt, and CDC frameworks.
- Manage identity and access using Azure AD / Entra ID, RBAC, service principals, and secure data connections.
- Monitor platform usage, performance, cost efficiency, and data reliability, proactively identifying optimization opportunities.
- Diagnose and resolve platform incidents in collaboration with engineering, governance, and operations teams.
- Manage and optimize data refresh cycles to ensure trusted and consistent analytics outputs.
- Develop and maintain platform documentation, operational playbooks, and governance guidelines.
- Coach and enable self-service BI teams, translating complex technical concepts into clear, actionable guidance for non-technical stakeholders.
- Collaborate in agile, international environments (SAFe, Scrum) with cross-functional teams.
- Support audits, governance reviews, and enterprise BI compliance initiatives.
- Drive continuous improvement, automation, and operational excellence across the analytics platform.