Job Description

Key Accountability: . Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence, and deployment infrastructure diagrams . Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects . Experience with gathering end user requirements and writing technical documentation . Time management and multitasking skills to effectively meet deadlines under time-to-market pressure . Suggest innovative solutions based on new technologies and latest trends to sales team . Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution . Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business Key Competencies: . Must have total 12 yrs. in IT and 3 years' experience working as a snowflake Data Architect and 8 years in Data warehouse, ETL, BI projects . Must have experience at least two end-to-end implementation of Snowflake cloud data warehouse . Expertise in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored procedures and standard DWH and ETL concepts . Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features . Expertise in deploying Snowflake features such as data sharing, events, and lake-house patterns . Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python . Experience in Data Migration from RDBMS to Snowflake cloud data warehouse . Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling) . Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features . Experience with data security and data access controls and design . Experience with Azure data storage and management technologies such as ADLS . Build processes supporting data transformation, data structures, metadata, dependency and workload management . Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot . Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface . Must have expertise in Azure Platform as a Service (PAAS) . Certified Snowflake cloud data warehouse Architect (Desirable) . Should be able to troubleshoot problems across infrastructure, platform, and application domains . Must have experience of Agile development methodologies . Strong written and communication skills . Effective and persuasive in both written and oral communication Nice to have skills: . Architect level certification from AWS / Azure / GCP . Experience being part of Snowflake Practice/COE . Data Science / AI ML implementation experience