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Sciata is a 51–200-person consulting firm built around custom software delivery and enterprise data transformation. The tech stack reveals a heavy focus on cloud data platforms (Azure Synapse, BigQuery, Spark) paired with emerging AI tooling (Azure OpenAI, LangGraph, FastAPI), while actively adopting Microsoft Fabric and moving away from legacy Access-based reporting—a pattern consistent with Finance and Data teams pushing toward modern warehouse architectures. Current hiring skews senior across engineering and data, signaling execution on complex modernization engagements rather than growth into new markets.
Tech Stack 60 technologies
Core StackPower BI Java AWS FastAPI Python PostgreSQL BigQuery Firebase Hadoop Apache Spark Kafka Apache Airflow Kotlin PyTorch scikit-learn SAS JD Edwards Oracle ERP Azure Synapse Spring Boot Azure AI Search Azure AI Foundry Azure OpenAI LangGraph GCP Azkaban Storm Spark Streaming Keras SPSS+26 more
AdoptingMicrosoft Fabric
ReplacingMicrosoft Access
What Sciata Is Building
◆Challenges
- Transitioning finance support to genpact
- Modernizing data warehouse
- Migrating from ms access
- Migrating legacy data warehouse to microsoft fabric
- Modernizing ms access reporting
- Scalability constraints
- Modernizing monolithic ai application
- Scaling enterprise ai architecture
- Improving retrieval accuracy
- Automating manual processes
▲Active Projects
- Ap/gl support transition
- Microsoft fabric data warehouse modernization
- Sage ai assistant platform
- Multi-agent orchestration using langgraph
- Tablet voice-to-text integration
- Build data pipeline infrastructure for extraction, transformation, loading
- Develop analytics tools for sensor behavior insights
- Implement data segregation and security strategy across availability zones
- Report and visualization development for product suite
- Enterprise software implementation projects
Hiring Activity
7 roles · 6 in 30d
Department
Seniority
Company intelligence