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Spartan Technologies Tech Stack

Enterprise consulting firm specializing in BI, CRM, and cloud architecture

IT Services and IT Consulting Atlanta, Georgia 51–200 employees Founded 2006 Privately Held

Spartan Technologies operates as a services and consulting firm focused on enterprise transformation across BI, CRM, ERP, and cloud infrastructure. The tech stack reveals a modern, multi-cloud engineering organization—AWS, Azure, GCP, Kubernetes, Databricks, and Snowflake sit alongside traditional BI tools (Power BI, Tableau, Redshift)—while active projects signal a shift toward AI-backed services, with teams building ML platforms, search infrastructure, and LLM deployment capabilities. Hiring is heavily weighted toward senior engineering and data roles, suggesting client-facing architecture and delivery rather than pure services scaling.

Tech Stack 58 technologies

Core StackPower BI Tableau SQL Server Redshift Jira Salesforce Google Analytics Snowflake Kubernetes Docker AWS Java Python Terraform Crossplane Databricks React Redux Go iOS Android xRay macOS Adobe Experience Manager Adobe Experience Cloud Adobe Analytics Adobe Target Adobe Launch Azure GCP+25 more
AdoptingIntune Microsoft Teams Rooms Microsoft Teams Phone

What Spartan Technologies Is Building

Challenges

  • Quote to cash integration
  • Unplanned outages
  • Product use improvement
  • Reducing technical debt
  • Reducing time to production
  • Scaling the platform
  • Remediation of security threats
  • Order fulfillment integration
  • Implementing advanced threat prevention
  • Claims auto adjudication

Active Projects

  • Enterprise-wide crm solution
  • Quote to cash integration
  • Develop digital consumer experiences based on adobe marketing cloud products
  • Deployment pipelines for microservices across aws accounts
  • Define solution architecture for global customer engagement and global web content management platforms
  • Ml platform for deploying ml/llm models
  • Backend data pipelines for ai-powered search
  • Scalable backend services for search & ai products
  • Databricks product vision and requirements
  • Developing the company's ai product

Hiring Activity

Minimal25 roles · 0 in 30d

Department

Engineering
11
Data
6
Ops
4
Marketing
1
Product
1
Sales
1
Security
1

Seniority

Senior
18
Mid
4
Staff
2
Principal
1
Company intelligence

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About Spartan Technologies

Spartan Technologies is a national consulting firm headquartered in Atlanta that helps mid-market and enterprise clients architect and deploy technology solutions across their full business lifecycle. The firm specializes in Business Intelligence, data warehousing, CRM implementation (primarily Salesforce), and ERP systems, with growing capabilities in cloud migration, microservices deployment, and AI/ML infrastructure. The 51–200-person organization operates across the United States and maintains a project-driven model centered on assessments, strategy, architecture, design, and implementation—moving clients toward more efficient operations through custom integrations and platform deployments.

HeadquartersAtlanta, Georgia
Company Size51–200 employees
Founded2006
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Spartan Technologies use?

Spartan uses Power BI, Tableau, SQL Server, Redshift, Snowflake, Databricks, Salesforce, Adobe Experience Cloud, AWS, Azure, GCP, Kubernetes, Docker, Java, Python, React, and Go. Recent adoptions include Microsoft Teams Rooms and Intune.

What is Spartan Technologies working on?

Current projects include enterprise CRM deployments, quote-to-cash integrations, digital consumer experiences via Adobe Marketing Cloud, microservices deployment pipelines, ML platforms for LLM inference, AI-powered search backends, and Databricks product vision work.

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How this profile is built

Spartan Technologies'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.