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Tier‑1 brand, metro location, and broadly attractive senior data role raise candidate competition.
Requires deep Microsoft Fabric/Azure and enterprise data architecture experience, limiting cross-industry portability.
Explicit 9–12 years, platform-specific Microsoft Fabric/Azure skills and leadership make screening very strict.
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Own end-to-end design, architecture, implementation, deployment, and support of enterprise data platforms for analytics, reporting, AI initiatives.
Lead technical delivery and governance of Microsoft Fabric-based data lakehouse, warehouse, and analytics solutions with secure, scalable architectures.
Drive stakeholder engagement, platform leadership, design reviews, and operational reliability across multiple parallel data engineering initiatives.
9–12 years experience in Data Engineering, Data Warehousing, BI, Analytics, and enterprise data platform delivery.
3–5 years designing cloud-based enterprise data platforms or modern lakehouse/warehouse architectures.
Bachelor's/Master's degree in Computer Science, IT, Engineering, Data Science, or equivalent practical experience.
Hands-on experience with Microsoft Fabric platform components (Lakehouse, Warehouse, OneLake, Data Factory, Power BI integration).
Experienced technical leader capable of independently owning large-scale data platform workstreams with high autonomy and delivery accountability.
Deep expertise in Microsoft Fabric ecosystem and metadata-driven data engineering frameworks.
Operational mindset balancing scalable architecture design with mentor-ship and governance across global, cross-functional teams.