Senior Cloud Data Architect

🕒 May 22

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Logo of Vertical Relevance

Vertical Relevance

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 our customers with technical and strategic guidance on their “cloud journey”. • Consult, plan, design, and implement Data solutions on the cloud customers. • Design AWS Data Lake implementations. • Database Migration to AWS Managed Services. • Design and Develop AWS Data Quality and Governance solutions. • Become a deep technical resource that earns our customer's trust. • Develop high-quality technical content such as automation tools, reference architecture, and white papers to help our customers build on the cloud. • Innovate on behalf of customers and translate your thoughts into action yielding measurable results. • Support solution development by conveying customer needs and feedback as input to technology roadmaps. • Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings. • Assist with technical briefs that document solutions. • Assist with reference architecture implementations. • Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts; Work with Marketing/Alliances to develop internal case studies.

🎯 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 • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

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