Infosys is seeking an Azure Cloud Data Architect who will be responsible for planning, designing, developing and maintaining the data architecture, data models and standards for various Data Integration Data Warehouse projects in snowflake and hyper scaler cloud. Ensure new features and subject areas are modelled to integrate with existing structures. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project
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Required Qualifications:
- Candidate must be located within the commuting distance of Chicago, IL or Milwaukee, WI or be willing to relocate to this location. This position may require travel within the US.
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- All applicants authorized to work in the United States are encouraged to apply
- At least 7 years of Information Technology experience
- Must have at least 5 years of experience working as a Data Architect in Data Warehouse, ETL, BI projects.
- Must have prior experience with end to end implementation of Snowflake cloud data warehouse and end to end data warehouse implementations on-premise preferably on Oracle.
- 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
- Expertise in AI/ML work experience is Preferred (Cortex AI, Snowpark ML, Feature Store etc.
- 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
- Certified Snowflake cloud data warehouse Architect (Desirable).
- Able to troubleshoot problems across infrastructure, platform and application domains.
- Strong written communication skills. Is effective and persuasive in both written and oral communication
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.