Senior AWS Cloud Data Architect

🕒 May 29

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Vertical Relevance

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51 - 200 employees

💸 Finance

💳 Fintech

Finance • Fintech • Cloud Computing

Vertical Relevance is a boutique firm specializing in financial services with a strong focus on AWS Cloud Transformation, Business Consulting, and Customer Experience & CRM. The company helps financial institutions undergo effective digital transformation by leveraging its expertise in financial services, Amazon Web Services (AWS), and Salesforce. Vertical Relevance offers comprehensive services that include strategy, design, implementation, cloud transformation, and customer relationship management, primarily targeting financial services clients. With over 25 years of domain experience, they address unique security, regulatory, and compliance obligations, enabling clients to innovate and enhance customer experiences.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

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