Experteer Overview As Lead Data Architect Azure at NTT DATA, you will shape data platforms for clients using Azure data and AI services. You will lead Azure data projects, mentor engineers and collaborate with cross-functional teams to deliver scalable data lake solutions. You will apply well-architected and cloud adoption frameworks to design robust architectures and guide stakeholders through technical tradeoffs. This role offers impact across client design workshops, skill development, and the Azure Center of Excellence. Responsibilities Manage Key Clients Manage relationships with Microsoft Manage the Azure Center of Excellence Lead Data & Analytics Azure projects Support Recruitment Support Value Proposition Support development of skills and capabilities Design Data Platform using Azure data & AI services (e.g., Synapse, Data Factory, Data Lake Gen2, Stream Analytics, Purview) Design operations architecture and performance engineering for large-scale data lakes Apply Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF)

Create and maintain optimal data pipeline architecture using Azure services or data management technologies (e.g., Talend, Informatica) Participate in client design workshops and provide tradeoffs and recommendations Mentor other engineers in coding best practices and problem solving Qualifications Proven experience in data analytics, preferably in consulting Minimum 5 years managing BI/data analysts up to senior level Azure cloud native environment experience Experience and knowledge of big data architectures, cloud and on-premise Azure infrastructure and networking experience Experience with Azure Load & Ingest: Event Hub, Data Factory, Databricks Azure storage: Data Lake Gen1/Gen2, Delta Lake Azure processing/serving: Synapse, Databricks, Stream Analytics Experience delivering proofs-of-concept to address business needs Experience migrating workloads from on-prem to cloud Experience monitoring distributed infrastructur

Lead data architect azure

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