28 Snowflakes Jobs - Page 2

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10 - 15 years

45 - 60 Lacs

Bengaluru

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You'll Get To: Provide technical expertise and leadership in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions while adhering to timelines, coding standards, requirements, and quality. Architect, design, develop, test, troubleshoot, debug, optimize, scale, perform the capacity planning, deploy, maintain, and improve software applications, driving the delivery of high-quality value and features to Blacklines customers. Work collaboratively across the company to design, communicate and further assist with adoption of best practices in architecture and implementation. Deliver robust architectural solutions for complex de...

Posted 5 months ago

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8 - 13 years

40 - 45 Lacs

Noida, Gurugram

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Responsibilities: Design and articulate enterprise-scale data architectures incorporating multiple platforms including Open Source and proprietary Data Platform solutions - Databricks, Snowflake, and Microsoft Fabri c, to address customer requirements in data engineering, data science, and machine learning use cases. Conduct technical discovery sessions with clients to understand their data architecture, analytics needs, and business objectives Design and deliver proof of concepts (POCs) and technical demonstrations that showcase modern data platforms in solving real-world problems Create comprehensive architectural diagrams and i mplementation roadmaps for complex data ecosystems spanning c...

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12 - 19 years

45 - 55 Lacs

Noida, Hyderabad, Gurugram

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Responsibilities Lead a team of data engineers, providing technical mentorship, performance management, and career development guidance Design and oversee implementation of modern data architecture leveraging cloud platforms ( AWS, Azure, GCP ) and industry-leading data platforms (Databricks, Snowflake, Microsoft Fabric) Establish data engineering best practices, coding standards, and technical documentation processes Develop and execute data platform roadmaps aligned with business objectives and technical innovation Optimize data pipelines for performance, reliability, and cost-effectiveness Collaborate with data science, analytics, and business teams to understand requirements and deliver ...

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