Senior AWS Cloud Data Architect

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Vertical Relevance

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51 - 200 employés

💼 Conseil

📣 Marketing

🏥 Santé

Consulting • Marketing • Healthcare

Vertical Relevance est une entreprise spécialisée dans les services financiers, mettant fortement l'accent sur la transformation Cloud avec AWS, le conseil en affaires et l'expérience client & CRM. L'entreprise aide les institutions financières à réaliser une transformation numérique efficace en exploitant son expertise dans les services financiers, Amazon Web Services (AWS) et Salesforce. Vertical Relevance propose des services complets incluant la stratégie, la conception, la mise en œuvre, la transformation cloud et la gestion de la relation client, ciblant principalement les clients des services financiers. Forts de plus de 25 ans d'expérience dans le domaine, ils répondent aux exigences uniques en matière de sécurité, de réglementation et de conformité, permettant aux clients d'innover et d'améliorer l'expérience client.

Description

• Help customers shape their journey to adopting the cloud and provide customers with technical and strategic guidance on their 'cloud journey'. • Consult, plan, design, and implement Data solutions on the cloud for customers. • Design AWS Data Lake implementations. • Assist customers with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake. • Assist customers with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources. • Develop high-quality technical content such as automation tools, reference architecture, and white papers to help customers build on the cloud. • Support solution development by conveying customer needs and feedback as input to technology roadmaps. • Assist with technical briefs that document solutions. • Assist with reference architecture implementations.

🎯 Exigences

• Professional experience architecting/operating Data / DevOps solutions built on AWS and Azure. • Experience in software/technology customer facing experience. • Experience with Apache Iceberg, Sagemaker, SageMaker Lakehouse, SageMaker Catalog, Terraform. • Database migration factory Aurora PostgreSQL. • Experience with Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake. • AWS Glue Data Catalog configuration and management. • Python/PySpark for metadata automation. • Data governance framework implementation. • Metadata ingestion pipeline development. • DCAM/DAMA framework experience. • Lake Formation security models. • Enterprise taxonomy design.

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development