Vertical Relevance Tech Stack

AWS and financial services consulting firm specializing in cloud migration and data platforms

Financial Services New York, NY 51–200 employees Founded 2015 Privately Held

Vertical Relevance is a financial services consulting firm built around AWS infrastructure, data platforms, and automation tooling. The stack reveals a heavy operational focus: Terraform, CloudFormation, Lambda, and a full observability layer (CloudWatch, Dynatrace) sit alongside data tools (SageMaker, Glue, Kinesis, Snowflake, Databricks, Iceberg). The hiring mix—5 senior engineers, 3 total engineering roles, plus dedicated data and security—mirrors their project load: data lake implementations, cloud-native re-architecture, and continuous delivery pipelines. SQL Server appears as a replacement target, confirming their strategy of migrating regulated workloads off legacy databases into AWS-native stacks.

Tech Stack 92 technologies

Core StackAWS Terraform CloudFormation Azure DevOps AWS Lambda .NET SQL Server Java CloudWatch SageMaker AWS Glue Dynatrace Snowflake Amazon SageMaker Apache Iceberg Redshift Databricks IIS Tomcat AWS SNS AWS Secrets Manager Kinesis Data Firehose Vault Azure OPA AWS Config AWS Organizations Athena AWS EMR Kinesis+62 more

ReplacingSQL Server

What Vertical Relevance Is Building

◆Challenges

Cloud adoption
Automating operations
Migrating legacy applications to cloud
Moving to cloud native architecture
Long sales cycles
Audit readiness and evidence collection
Migrating legacy sql server workloads
Data lake governance

▲Active Projects

Aws data lake implementation
Automation tools development
Self-service account framework
Continuous delivery pipeline framework
Security control policies
Cloud native application re-architecture
Infrastructure automation for customers
Technical content development
Aws data quality governance
Cloud solutions architecture

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

Data

Sales

Security

Seniority

Senior

Mid

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About Vertical Relevance

Vertical Relevance advises mid-market and enterprise financial services organizations on cloud migration, data engineering, and operational automation, with particular depth in regulated industries. Founded in 2015 and headquartered in New York, the firm operates across business advisory, AI/ML services, and cloud infrastructure—partnering with AWS and ServiceNow. Their active project roster spans data lake governance, legacy application re-architecture, and infrastructure-as-code automation; pains around audit readiness and long sales cycles suggest they serve large compliance-sensitive clients making multi-year cloud journeys. The 51–200 headcount is weighted toward senior technical staff, indicating a project-delivery rather than pure-services model.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States

Frequently Asked Questions

What is Vertical Relevance's tech stack?

AWS (Lambda, SNS, SageMaker, Glue, Kinesis, Redshift, Athena, EMR), Terraform, CloudFormation, Snowflake, Databricks, SQL Server, .NET, Java, and observability tools including CloudWatch and Dynatrace.

What does Vertical Relevance work on?

AWS data lake implementations, cloud-native application re-architecture, infrastructure automation, continuous delivery pipelines, security control policies, and data quality governance—primarily for financial services clients navigating legacy-to-cloud migration.

How this profile is built

Vertical Relevance's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.