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Strong Tata Capital brand, generalist Data Architect title, and Mumbai metro increase competition density.
Data platform and Azure skills are transferable, but EDW and financial services context increase specificity.
Senior Data Architect requiring Azure, EDW, Data Lake and GenAI expertise implies strict technical screening.
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Architect and lead development of a modern Data platform including Data Engineering, Enterprise Data Warehouse (EDW), and Data Lake solutions.
Collaborate with senior stakeholders to define and implement data strategy and vision aligning with organizational goals.
Manage Azure cloud infrastructure for Data and Analytics and spearhead adoption of Generative AI leveraging Data Lake data.
Experience Required: Not explicitly mentioned in the JD.
Proven expertise in architecting and delivering enterprise-scale data platforms including Data Engineering, EDW, and Data Lake.
Experience managing Azure cloud platforms for data and analytics workloads.
Not explicitly mentioned: mandatory educational degree, location constraints beyond Mumbai mentioned in title, or notice period.
Experienced leader capable of driving end-to-end data platform delivery and translating business data strategy into technical vision.
Demonstrated ability to engage senior stakeholders and influence data strategy at organizational level.
Strong background in Azure cloud services and emerging data technologies such as Generative AI in enterprise environments.