Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.
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 Sharing
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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