Job description
Job Description This is a hands-on Senior role at the intersection of data engineering, cloud architecture, and generative AI. You will serve as the primary technical authority on our Snowflake Data Cloud strategy — designing scalable, secure, and cost-efficient data platforms that underpin enterprise analytics, operational reporting, and AI-native applications. You will get hands-on with complex architectural problems while influencing direction at the executive level. Key Responsibilities are: · Strategic planning and hands-on engineering of Snowflake/Big Data and cloud environments that supports our clients’ advanced analytics and data science initiatives. · Provide support in defining the scope and sizing of work · Working closely with various enterprise architects Information security teams, Data management team, to ensure the architected solution meets all the needs of a customer, from a functionality perspective and IT solution engineering perspective. · Lead designing all aspects of our data solution including artifact creation such as diagrams, playbooks and other technical documents. · Translate business requirements into technology solutions · Mentor and guide Jr. team members to deliver the solutions on time. · Create various architecture blueprints and work with the development team to deliver the vision. Skills & Experience: · Overall, 10-15 years of experience in Solution Architecture, Data Management, Data Lake and Lakehouse design and development. · Snowflake (expert): Virtual warehouses, Snowpark, Cortex AI (LLM functions, vector search, Document AI, Cortex Guard), Dynamic Tables, Streams & Tasks, Data SharingOriginally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.