Overview
Own and evolve Roboyo's unified Microsoft Fabric data platform and Power BI corporate reporting layer, serving as technical owner from ingestion through semantic models to the reports leadership uses for decisions.
What you'll do
- Own and evolve the Microsoft Fabric platform: capacity sizing, performance, scalability, availability and cost control
- Maintain and extend the metadata-driven pipelines that integrate data from Salesforce/Kantata, Dynamics 365, Workday and business-created sources
- Develop and maintain the medallion (bronze/silver/gold) lakehouses/warehouses, serving both human and agentic workloads
- Design and deliver semantic models and Power BI reports that provide one version of the truth for key business metrics and KPIs
- Run Power BI governance: workspaces, access control, release management, app embedding and user adoption
- Partner with C-level and business leads to scope, prioritise and deliver new analytical products
- Ensure data quality, documentation and continuity of existing products while refining them
- Track Fabric's rapid roadmap and adopt new capabilities where they add value
- Promote a data-driven culture by supporting stakeholders in their data initiatives
What you'll need
- 7+ years in BI / Analytics Engineering
- Proven Microsoft Fabric production experience, both technical (Lakehouse / Warehouse, Pipelines, Dataflows, Notebooks) and governance-wise (security, access control, monitoring)
- Strong data modelling skills: dimensional modelling, medallion architecture, advanced SQL
- Deep Power BI expertise: semantic model design, DAX, performance tuning, governance
- Experience building robust metadata-driven, automated ingestion frameworks
- Experience integrating enterprise sources such as CRM, PSA, ERP and HRIS systems
- Ability to translate business needs and concepts into reliable data products and metrics, and communicate confidently with senior leadership
- Comfortable working independently with high accountability and partnering strategically with other business functions to achieve successful outcomes
Nice to have
- Building or scaling a BI function
- Fabric capacity management and cost optimisation experience
- Preparing data and designing architectures for AI/agentic workloads and use cases
- Using AI as an accelerator and work multiplier (maintenance, development, data quality)
- Harnessing both Fabric and the larger Microsoft ecosystem AI capabilities (Fabric Apps, Fabric IQ, Ontologies, Foundry, Copilot 365)
- PySpark / Python and Git-based CI/CD and deployment pipelines
- Microsoft certifications such as PL-300, DP-600, DP-700
Details
- Location: India
- Hands-on role with high autonomy and direct exposure to C-level stakeholders
Read the full description and apply on the company’s own careers page.