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Tier-1 brand and metro location increase applicant density, but senior, specialized role moderates competition.
Data-product and Azure expertise moderately limits transfers while remaining applicable across industries.
Explicit 8+ years and mandatory Azure/data product experience create strict shortlisting filters.
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Lead design and implementation of data products on Microsoft Azure platform to meet complex data and insights requirements.
Develop, deploy and scale data pipelines and platforms, ensuring data acquisition, preparation, architecture, and real-time streaming capabilities.
Collaborate cross-functionally with customers, engineering, architecture, and client success teams to analyze requirements, document data flows, and deliver impactful data solutions.
8+ years experience in technical product management with focus on data products on Microsoft Azure.
Hands-on experience with cloud native solutions, data engineering projects supporting AI/ML, Python, SQL, and real-time data streaming.
Knowledge of data architectures, pipelines, warehouses, and data platform scaling and monitoring.
Experience with Agile engineering practices and collaboration tools like Jira and Confluence.
Experienced in end-to-end data pipeline management including data acquisition, preparation, and database architecture on cloud platforms.
Proven ability to translate customer business objectives into technical requirements and system architectures via consultative approach.
Skilled at working in cross-functional teams within enterprise-scale, cloud-based AI and data environments supporting analytics and machine learning initiatives.