AWS Data Cloud Consultant

September 15

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Vertical Relevance

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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.

51 - 200 employees

💸 Finance

💳 Fintech

📋 Description

• End-to-end planning, building, and deploying of software systems and data solutions on AWS for customer engagements • Drive programming of well-constructed, testable code and be a deep technical resource for customers • Help customers shape their journey to adopting the cloud and provide technical and strategic guidance on their cloud journey • Consult, plan, design, and implement Data solutions on the cloud customers, including AWS Data Lake implementations and Data Quality/Governance solutions • Develop high-quality technical content such as automation tools, reference architectures, and white papers • Innovate on behalf of customers and translate ideas into measurable results; convey customer needs and feedback into technology roadmaps • Assist with technical briefs and reference architecture implementations • Support internal and external brand development through thought leadership (work with Marketing/Alliances on blog posts and case studies) • Assist customers with building frameworks for data collection, ingestion, cataloging, storage, and serving, including S3 bucket strategies, encryption, partitioning, lifecycle, and cross-region replication • Build reusable ingestion frameworks, serverless ingestion where applicable, and orchestration/state-management for lambda architectures • Advise customers on AWS service choices for ingestion, orchestration, and analytics and implement monitoring, logging, and alerting strategies to avoid data loss and handle exceptions

🎯 Requirements

• Professional experience architecting/operating Data / DevOps solutions built on AWS • Experience in software/technology customer facing experience • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future • Familiarity with data lake design and implementation, data quality and governance • Experience building data ingestion, transformation, orchestration, and serving layers • Experience with Amazon VPC, S3 bucket strategy, and lambda/big-data architectures • Experience implementing monitoring, logging, alerting, retry and error-handling mechanisms for data pipelines • Must Have: Apache Iceberg, SageMaker, SageMaker Lakehouse, SageMaker Catalog, Terraform • Should Have: Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake • Primary language: Python • Tooling/Services/Libraries: Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop • AWS tooling: CloudFormation, AWS CLI, AWS CDK, IAM, CloudTrail, Service Catalog, Step Functions, Data Pipeline • Experience advising on and selecting AWS analytics and storage services (S3, Lambda, EMR, Kinesis, Glue, Lake Formation) • Mid Level (as listed in posting)

🏖️ Benefits

• Work remotely • Opportunities for thought leadership and marketing collaboration (write blog posts, develop case studies) • Full-time employment