Coforge
Snowflake Data Architect Responsibilities: • Strong Data & Analytics focused data architect with 14 - 16 years of progressive experience across both traditional and cloud architectures and ecosystems. • Experience engaging with clients in a consultative mode and demonstrated thought leader - advising clients on technology options, target state solution architecture and roadmap. • Experience in architecting and implementing data solutions covering Data Lakes, Data Warehouses, BI Reporting and Analytic solutions across industries. • Experience engaging across multiple stakeholder groups involving business and technology stakeholders to understand use cases and associated capabilities. • Understanding of Data mesh, Lake house and other key solution constructs for architecting modern data solutions and platforms. • Expertise in designing and implementing data models using methodologies such as Data Vault 2.0, Dimensional modelling and 3NF modelling using different data modelling tools. • Experience engaging across and collaborating with multiple stakeholder groups involving business partners as well as other platform/technology vendors and service providers. • Understanding of key components of Data Governance covering data stewardship, data cataloging, metadata management, data lineage, data quality, data privacy, etc. • Has exposure to master data management more from a customer master data perspective. • Strong experience in architecting and designing both batch and streaming data solutions in a Cloud Environment (Azure or AWS) and Snowflake data environment leveraging Kafka. • Exposure to Azure and AWS data ecosystem and native components such as ADLS Gen 2, ADF, Event Hub, Synapse, S3 etc • Expertise in Snowflake Data Cloud and its capabilities and features. Preferably, SnowPro Core certified. • Experience in ETL architecture and exposure to tools such as Informatica and cloud native options for data integration and processing in Azure, AWS and Snowflake • Self-starter who can drive & navigate with minimal supervision and in fast paced environment. • Experience leading and guiding technical teams to implement the data cloud solutions • Strong communication and presentation skills • Well versed in working in an agile delivery model