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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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We have partnerships with AWS, Azure, GCP, Automation Anywhere, Snowflake and SAS. Align with the solution architect and SMEs on the data mapping, load, design strategy and plan. We have partnerships with AWS, Azure, GCP, Automation Anywhere, Snowflake and SAS.
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The ideal candidate will have strong knowledge of SQL, Python, R, Snowflake, and Amazon Web Services (AWS). Knowledge of technologies such as SQL, Python, Snowflake, Tableau, and QuickSight for BI platforms.
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Proficiency in Snowflake data platform, including data modeling, warehousing, and querying. , Azure Data Engineer, Azure Solutions Architect) is a plus. The Senior Data Architect will play a crucial role in shaping our data architecture strategy, ensuring scalability, reliability, and performance of our data systems.
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Strong leader with around 12+ years of cross functional and technical experience in IT Industry which includes 5+ years of experience in AWS cloud using Lambda, Step Function, Glue, DMS, S3, Snowflake, RDS PostgreSQL, Python and 10 years of experience in Data Warehousing and BI solutions using Informatica with Oracle and SQL databases.
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5+ years of experience with at least one database/data warehouse solution (e.g., MySQL, MSSQL, Synapse, Snowflake, RedShift). Somatus, the leader in value-based kidney care, has an immediate opening for a Data Architect to create impact among Somatus’ clients and leadership by building data warehouse and ETL solutions to drive clinical operations, advanced analytics, and machine learning models.
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Deep understanding of the AI and Data technology landscape - including affinity with Snowflake, AWS, GCP products & solutions. Act as an AI & data architect for presales engagements. Finally, with experience in software delivery cycles based on agile methodologies the Associate Technical Architect supports and is in close alignment with project management activities.
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Knowledge of MuleSoft and Snowflake is preferred. As an Expert IT Solutions Architect, you will be responsible for ensuring the architecture of Nestlé's Azure data warehouse that complies with global IT strategy and system architecture best practices.
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5 years of working experience with different databases such as Oracle/Mysql/MongoDB/Snowflake/RDS databases. 5 years of experience with AWS/GCP/Azure, preferred AWS. AWS Solutions Architect certifications is preferred.
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Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other development tools, languages and frameworks is a plus. The Data Architect will work as an integral part of an Agile team to design and implement the data strategy and architecture underpinning our Digital Products.
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Title: Snowflake Admin Architect. Expertise in Snowflake – data modeling, ELT/ETL using Snowflake SQL, Stored Procs, Snowflake Administration and knowledge in Big Data areas like Hadoop and Talend (optional.
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Expert IT Solution Architect - ML/AI. Build and train Machine Learning models using Azure and Databricks technologies. 2+ years of experience in Azure Cloud technologies e.g., ML/OPS, ML Flow, Azure Data Factory, Azure Function, Data Bricks, Event Hub, Microservices/API, Python/PYSPARK/R, or SQL.
$129,000 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications in relevant data warehousing technologies or platforms (e.g., AWS Certified Solutions Architect - Data Warehousing Specialty, Snowflake Certified SnowPro, etc. Experience with cloud-based data warehousing platforms such as Amazon Redshift, Google BigQuery, or Snowflake.
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Strong experience on Snowflake or DataBricks (including PySpark) along with tools like DBT or Snaplogic or Informatica Stack. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
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Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc) Experience with statistical analysis software (SAS, R, Python, etc. Experience with master data management and data governance.
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