Snowflake Architect

March 15

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Accellor

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Accellor is a company offering AI-driven solutions across various industries, focusing on enhancing efficiency and engagement through advanced applications and data strategies. Their services include leveraging artificial intelligence for enterprise applications, product engineering, and cloud services to transform industries such as healthcare, manufacturing, financial services, real estate, retail, travel, and hospitality. Accellor partners with technology leaders like Salesforce and Microsoft Dynamics 365 to deliver personalized, intelligent business applications. Committed to responsible AI practices, Accellor helps organizations harness the potential of data and AI to drive strategic decisions, automate operations, and provide superior experiences.

Systems Integration • Digital Transformation • Customer Relationship Management • Content Management • Mobile Application Development

201 - 500 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• Accellor is a trusted Digital Transformation Partner that delivers superior customer engagement and business effectiveness for clients using best-of-breed Cloud technology. • We foster an environment that encourages curiosity, constant learning, and persistence. • We are looking for a Snowflake Architect who will be responsible for planning, design, develop and maintain the data architecture, data models and standards for various Data Integration & Data warehouse projects in snowflake. • Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. • Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. • Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. • 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. • Suggest innovative solutions based on new technologies and latest trends. • Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution. • Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.

🎯 Requirements

• 8+ years of experience in IT with at least 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 and 3 end to end data warehouse implementations. • 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 understanding 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) • Experience with data security and data access controls and design • Experience with AWS or Azure data storage and management technologies such as S3 and 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. • Should be able to troubleshoot problems across infrastructure, platform and application domains. • Must have experience of Agile development methodologies. • Strong written communication skills. Is effective and persuasive in both written and oral communication.