Sparq Tech Stack

AI-driven operational performance engineering for complex supply chain and enterprise systems

Software Development Atlanta, GA 501–1,000 employees Privately Held

Sparq embeds AI and analytics into the operational cores of large enterprises—freight workflows, claims processing, property management, maintenance operations—where milliseconds of latency and manual bottlenecks translate directly to margin loss. The stack spans legacy enterprise systems (ServiceNow, Cherwell, SAP) alongside modern cloud data infrastructure (Snowflake, Databricks, Azure, GCP) and generative AI (OpenAI), with active hiring heavily weighted toward senior engineers and data specialists, signaling a capital-intensive push to productionize AI workflows at scale in already-running systems.

Tech Stack 107 technologies

Core StackMariaDB MySQL PHP Node.js TypeScript .NET ServiceNow OpenAI AWS Snowflake Databricks Swift dbt Python Matillion Azure Data Factory Java React Spring Drupal Cherwell Palantir Objective-C iOS Azure SQL Database Azure Synapse Analytics GCP Azure WebView Jakarta EE+75 more

AdoptingAzure AD

ReplacingSQL Server

What Sparq Is Building

◆Challenges

Modernizing legacy systems
Migrating legacy sql server to cloud
Reducing vendor lock-in
Integrating generative ai
Optimizing data processing for cost efficiency
Migrating legacy identity to microsoft entra id
Modernizing sap landscapes
Extracting data from legacy sap systems
Improving site performance
Ensuring platform reliability

▲Active Projects

Extracting customer invoice payment data
Designing scalable data pipelines and semantic models
Scalable backend services
Generative ai integration
End-to-end ai workflows
Migration to microsoft entra id
Secure authentication and authorization flows
Modernization of on-prem sql server to cloud
Productionizing machine learning models in data pipelines
Data extraction and optimization in amazon redshift

Hiring Activity

Accelerating50 roles · 45 in 30d

Department

Engineering

Data

Marketing

Product

Sales

Security

Support

Seniority

Senior

Principal

Mid

Intern

Lead

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About Sparq

Sparq is an economic performance engineering firm built to integrate AI and operational intelligence into the systems where large enterprises win or lose margin. The company works inside existing operational tech stacks—ERP systems, freight management platforms, claims processors, and maintenance workflows—adding decision velocity and automation without full system replacement. Clients include complex logistics, insurance, property management, and industrial operations firms. Headquartered in Atlanta with a distributed engineering footprint across the Americas (US, Uruguay, Costa Rica, Colombia, Mexico, Chile), the company operates at the intersection of legacy modernization and AI integration, addressing the modernization risk that keeps enterprise ops leaders awake: how to unlock AI value in decade-old systems without breaking them.

HeadquartersAtlanta, GA

Company Size501–1,000 employees

Hiring MarketsUruguay, Costa Rica, United States, Colombia, Mexico, Chile

Frequently Asked Questions

What is Sparq's tech stack?

Sparq runs on legacy enterprise systems (Drupal, ServiceNow, Cherwell, MySQL, MariaDB) alongside modern cloud stacks (AWS, Azure, GCP), data platforms (Snowflake, Databricks, Palantir), and AI tools (OpenAI). The firm is migrating from SQL Server to Azure and adopting Azure AD for identity.

Where is Sparq headquartered?

Atlanta, GA. The company also hires in Uruguay, Costa Rica, Colombia, Mexico, and Chile, signaling a distributed engineering model across the Americas.

How this profile is built

Sparq'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.