Simple Machines Tech Stack
Data platform consulting and engineering for enterprise scale
Simple Machines is a 51–200-person consulting and engineering firm building data platforms and AI systems for enterprise clients. The stack reveals infrastructure-first maturity: GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, Airflow, Flink across streaming, warehousing, and orchestration. Hiring velocity is accelerating with 14 roles posted in the last 30 days—weighted heavily toward senior and principal engineering and data roles—while active projects center on real-time pipelines, governance, and AI-native platform modernization. Pain points (messy data, governance-velocity tradeoffs, lack of operational views) align precisely with the consulting playbook: helping enterprises escape legacy centralized systems.
Tech Stack 58 technologies
What Simple Machines Is Building
◆Challenges
- Messy high-value data
- Scaling marketing platform
- Modernising data ecosystems for ai-native future
- Transitioning from centralised data platforms
- Efficiency of delivery
- Secure compliant data solutions
- Data governance without developer velocity
- Lack of single operational view
- Financial tracking challenges
- Governance coordination gaps
▲Active Projects
- Scalable marketing platform backend services
- Data-driven apis
- Enterprise data platform transformation program
- Ai-native real-time data platform initiatives
- Greenfield data platform
- Real-time pipelines
- Data product development
- Operational and financial view implementation
- Governance reporting enhancement
- Central coordination platform
