Snowflake DBT Architect

Key Result Areas and Activities: Architect solutions & coordinate their implementation Guide research & experiments to address unmet needs Build & reuse knowledge & expertise Engage with clients, delivery & industry Lead & support opportunities Work and Technical Experience: Must Have: Experience in design and architecture of modern data platforms, data products, data clean rooms Deep expertise in data modelling, data pipeline, data sharing, semantic enrichment using Snowflake capabilities including Snowflake Intelligence, DBT, Horizon, Snowpark Proficient in data engineering using DBT as well as cloud native data pipelines in Snowpipe, Openflow Proficiency in AI infused data engineering with effective use of GenAI, LLMs, MCPs, Agents using, Cortex and Cortex Code Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns Diverse D&A experiences including green field Fabric implementation, migrations from legacy to Snowflake, data products, semantic & context layer design in Snowflake Proficiency in supporting presales and solutioning with experience in conducting discovery workshops, whiteboarding sessions, building architectural blueprints and estimations for large programs Demonstrable thought leadership through blogs, white papers and presentations in D&A events Good to have : Well versed with data management practices such as data quality management, data cataloging and data governance in hybrid and multi-cloud environments Well versed in DataOps automation using cloud native services on Snowflake on Azure/AWS Experience of building Snowflake native apps as a front end for data products and AI use cases Well versed with DevSecOps considerations for cloud first data analytics solutions in Snowflake on Azure/AWS Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps covering usage of Snowflake Demonstrable advisory and consulting experiences for strategic D&A initiatives Sound business appreciation to understand business and functional requirements for solution architecture considerations. Experience in evaluating and comparing multiple cloud data technology choices and making right-fit recommendations in the client context. Working knowledge of frameworks like TOGAF, DAMA Qualifications: Bachelor s degree in computer science, engineering, or related field (master s degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods 10 to 14 years of experience in data analytics with focus on cloud data technologies Qualities: Strong architectural mindset with attention to detail. Ability to enforce standards with diplomacy and influence. Analytical thinker with strong problem solving capabilities. Proactive, structured, and disciplined in governance activities. Collaborative, with strong communication across technical and business teams. Qualifications: Bachelor s degree in computer science, engineering, or related field (master s degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods 10 to 14 years of experience in data analytics with focus on cloud data technologies. Qualities: Strong architectural mindset with attention to detail. Ability to enforce standards with diplomacy and influence. Analytical thinker with strong problem solving capabilities. Proactive, structured, and disciplined in governance activities. Collaborative, with strong communication across technical and business teams Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.