MANAGED TEAMS
Scale with Fully ManagedAI & Data Engineering Teams
We build, lead, and deliver with specialized engineering pods. Azure, Databricks, PySpark, Snowflake, AI/ML, LLM, and AWS experts.
3+Team types
48hrTeam assembly
5,000+Engineers
100%Managed delivery
What Are Managed Teams?
Unlike contract staffing where you manage developers directly, managed teams are led by our experienced engineers who handle delivery end-to-end.
You Share Goals
Define what you want to achieve
We Assemble
Build the right team for your needs
We Run Delivery
Sprints, standups, code reviews
You Review
Track outcomes and progress
Example Team Compositions
Data Engineering Pod
1 Tech Lead
2 Data Engineers
1 DevOps
Ideal for: Building data pipelines and lakehouse architecture
Platform Team
1 Architect
3 Data Engineers
Ideal for: Large-scale data platform implementations
Full Delivery Team
1 PM
2 Data Engineers
1 QA
Ideal for: End-to-end project delivery with oversight
What's Included
Sprint planning and execution
Daily standups and coordination
Code reviews and quality checks
QA and testing
Documentation
Weekly progress reports
Dedicated account manager
Technical oversight from senior engineers
SPECIALIZATION
We don't do everything.
We do data, cloud & AI — exceptionally.
Our managed teams are built around a focused enterprise stack.
Data Platform
Modern lakehouse and warehouse solutions
AzureDatabricksSnowflakeDelta Lake
Pipeline & Processing
Real-time and batch data pipelines
PySparkAirflowKafkadbt
Cloud & Infrastructure
Cloud-native architecture and infrastructure as code
AWSAzureTerraformDockerKubernetes
AI & Analytics
Business intelligence, ML models, and predictive analytics
Power BITensorFlowPyTorchPython ML
CASE STUDIES
Real results from managed delivery
HealthcareUS
Cloud Infrastructure Modernization
40%
Cost reduction
6 months · 3 engineers
Read Case Study →FAQ
Frequently asked questions
Ready to build your managed team?
Tell us about your project goals and we'll propose the right team composition