Data Cloud Consultant, AWS

September 12

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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

• 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 • 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 architectures, 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 • Assist with technical briefs that document solutions and reference architecture implementations • Support internal and external brand development through thought leadership (blog posts, internal case studies) • AWS Data Architecture and Data Lake Implementation: assist with data collection, ingestion, catalog, storage and serving, VPC and S3 strategy, lambda architecture design, data catalog and serving layer guidance • Build Ingestion and Orchestration: design reusable ingestion frameworks, server-less approaches, monitoring, logging, alerting, retry capabilities, orchestration using AWS Glue, Step Functions, EMR, Batch, Lambda • Storage and Catalog: build Amazon S3 data lake storage approaches, buckets, prefixes, encryption, file types, partitioning, lifecycle management, cross-region replication if required

🎯 Requirements

• Professional experience architecting/operating Data / DevOps solutions built on AWS • Experience in software/technology customer facing experience • You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. • Must Have: Apache Iceberg Sagemaker, SageMaker Lakehouse, SageMaker Catalog, Terraform • Should Have: Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake • Primary Languages - Python • Tooling, Services & Libraries – Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop • AWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK • Relevant AWS Services – S3, Lambda, Batch, RDS, DynamoDB, Redshift, Aurora, Neptune, VPC, CloudTrail, Service Catalog, Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline, IAM, Step Functions

🏖️ Benefits

• Work remotely • Full-time employee • Opportunities for thought leadership (write blog posts, develop internal case studies) • Emphasis on professional development and learning ('constantly learning' culture) • Equal opportunity employer