Microsoft Fabric Platform Engineer

Role overview

Join the Fabric Center of Excellence to operate, govern and continuously improve an enterprise-scale Microsoft Fabric and Power BI environment. This role combines platform administration, capacity and gateway management, automation, incident response and enablement of AI-powered analytics capabilities.

Key responsibilities

- Administer Microsoft Fabric and Power BI tenant settings, capacities, domains, workspaces and access controls.
- Establish and enforce governance standards across security, data protection, workspace lifecycle, deployment and operational compliance.
- Monitor capacity health, utilization and throttling; support workload planning, performance optimization and proactive remediation.
- Manage on-premises and virtual network data gateways, including clusters, data-source connectivity, upgrades, availability and troubleshooting.
- Automate platform operations, monitoring, governance reporting and deployment activities using PowerShell, Python, REST APIs and CI/CD practices.
- Own incident triage, root-cause analysis, service restoration, stakeholder communication and knowledge documentation.
- Support AI Agents, Data Agents, ontologies and AI-ready semantic models through secure, governed platform patterns.
- Partner with engineering, BI, security and business teams to onboard solutions and improve platform reliability and adoption.

Required technical capabilities

- Strong hands-on experience in Microsoft Fabric and Power BI administration.
- Capacity administration, monitoring, performance analysis and optimization.
- Gateway architecture, configuration, high availability, upgrades and issue resolution.
- Governance, access management, security controls, lifecycle management and operational standards.
- Python, SQL, DAX, Fabric Notebooks, semantic models and Semantic Link Labs.
- Working knowledge of AI Agents, Data Agents, ontology concepts and Copilot-enabled analytics.
- Automation using PowerShell, REST APIs, Git and CI/CD pipelines.
- Structured incident management, troubleshooting and clear technical documentation.

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Qualifications and certifications

- Bachelor’s degree in computer science, engineering, information systems or a related discipline, or equivalent relevant experience.
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is mandatory.
- Related certifications such as PL-300, DP-203, AI-102 or AZ-104 are preferred.
- 3-5 years of relevant experience in data, analytics, BI or cloud platform engineering, including hands-on administration responsibilities.

Preferred experience

- Supporting enterprise-scale Fabric or Power BI environments in a global operating model.
- Capacity troubleshooting, workload governance, service monitoring and performance tuning.
- Microsoft Purview, data lineage, DLP, RBAC and enterprise governance practices.
- Lakehouse, Direct Lake, deployment pipelines and release management.

Behavioral competencies

- Strong problem-solving mindset with attention to operational detail.
- Ability to prioritize incidents and communicate clearly with technical and business stakeholders.
- Ownership, accountability and a continuous-improvement orientation.
- Willingness and ability to work the mandatory 5:00 PM IST to 2:00 AM IST shift.

Success in this role

- Reliable, secure and well-governed platform operations.
- Reduced recurring incidents through automation and corrective actions.
- Improved capacity visibility, gateway resilience and adherence to CoE standards.

Safe enablement of governed Fabric AI and analytics capabilities

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.