1248699 Data solution architect Location Phoenix AZ day 1 onsite Client ON Semiconductor Pay rate : $95/hr Key words are “Multi Cloud”, “architect”,””modelling”,”governance”,”Data science”,”AI/Client” JD is as below Data solution Architect Technology : Azure ADF/ ADB, Snowflake + Any BI Tools ( Tableau / Qlik) + AI/Client , GenAI Technical Architect role who should understand the data solutions, landscape, connect and convince customer on regular basis. Act as SPOC for onshore-offshore team for support as well as development work. Must have:
- Experience in Snowflake end to end implantation (at least 4-5 years)
- Experience with Azure Cloud and Data Analytics solutions ( at least 4-5 years)
- Ability to build Azure cloud data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks)
- Exposure to large databases, BI applications, data quality and performance tuning
- Experience with ETL processing or ETL toolset
- Data Management concepts and standards (SQL Server, Oracle, Cloud, Snowflake, Azure, etc.)
- Ability to establish the relation and build the rapport with customer stakeholders
- Should be able to articulate the problem statement & solution
- Should have excellent communication, presentation and analytical capability
Participate and represent in detailed architectural discussions with the Global Data team to build confidence and ensure customer success when building new solutions and migrating legacy data within the Azure Data Lake platform Good to have:
- Provide subject matter expertise and hands on delivery of data capture and consumption of legacy data via Global template pipelines and Global framework playbook protocols.
- Expert, hands on experience in Azure – Data Factory, Data Lake store/Blob storage, SQL DB Experience in creating Pipelines with Azure components
- Expert, hands on experience in Databricks, Snowflake or similar
- Strong SQL experience – writing stored procedures, tuning indexes and troubleshooting performance bottlenecks
- A very good hands on experience in AI/Client and GenAI and should have worked in live project with customer and should be able to do mindshare with customers
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databricks Azure Data Factory GenAI Tableau Qlik Data lake ADB (Android Debug Bridge) Microsoft SQL Server Oracle Blob storage snowflake-cloud-data-platform SQL ETL Power BI