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Senior, niche Snowflake data-architect role in Noida reduces qualified applicant density.
Highly domain-specific Snowflake, data governance and streaming expertise limits cross-industry transferability.
Explicit 9+ years, Snowflake, AWS, streaming, and specific tooling requirements increase filter rigidity.
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Lead design and evolution of scalable, secure, high-performance cloud-native data platforms using Snowflake and AWS.
Define enterprise data architecture and drive design/implementation of reliable, cost-efficient batch and real-time data pipelines.
Mentor engineering teams, manage production support including troubleshooting, and ensure data platform operational excellence in an Agile environment.
8-11 years of total experience in Data Engineering, Data Warehousing, or Data Platform development.
7+ years experience designing enterprise-scale data architectures.
Deep expertise in Snowflake features (Snowpipe, Streams, Tasks, query optimization, performance tuning) and AWS data services (S3, Kinesis, Lambda).
Work Location: Noida, India.
Experienced in leading architecture and technical decision-making for large-scale cloud-based analytics platforms.
Strong in production troubleshooting and performance optimization with solid knowledge of data governance and security implementation.
Capable of mentoring teams and collaborating cross-functionally to deliver end-to-end data engineering solutions under Agile methodologies.