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Onebridge Tech Stack

Full-lifecycle data and AI consulting for enterprise decision-making

IT Services and IT Consulting Indianapolis , IN 201–500 employees Founded 2005 Privately Held

Onebridge is a data and AI consulting firm acquired by Marlabs in 2024, operating across healthcare, life sciences, manufacturing, financial services, and government. Their tech stack spans modern data platforms (Databricks, Delta Lake, Spark) and cloud infrastructure (Azure, AWS, GCP) with emerging ML tooling (TensorFlow, PyTorch, scikit-learn), and current projects focus on lakehouse architecture and scalable pipelines. Hiring is accelerating in engineering and data roles (mostly senior-level), suggesting capacity buildup for larger platform migrations and governance work.

Tech Stack 64 technologies

What Onebridge Is Building

Challenges

  • Migrations, governance, and ai enablement
  • Performance issues

Active Projects

  • Design end-to-end data platforms using databricks lakehouse architecture
  • Implement scalable batch and streaming data pipelines
  • Lead cloud-based implementations across aws, azure, or gcp

Hiring Activity

Accelerating7 roles · 6 in 30d

Department

Engineering
4
Data
3

Seniority

Senior
6
Lead
1
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About Onebridge

Onebridge delivers data strategy, implementation, and enablement services under the Marlabs umbrella. Since 2005, they have served Fortune 500 and mid-market organizations in healthcare, life sciences, manufacturing, financial services, and government. Their service model spans strategy and architecture (Strategic Data Management, Integration, Master Data Management), analytics and BI, enterprise application development, and managed services. The firm operates from Indianapolis with teams distributed across the United States, India, Singapore, and Brazil.

HeadquartersIndianapolis , IN
Company Size201–500 employees
Founded2005
Hiring MarketsIndia, United States, Singapore, Brazil

Frequently Asked Questions

What is Onebridge's tech stack?

Onebridge uses Databricks, Delta Lake, Apache Spark, and cloud platforms (Azure, AWS, GCP) for data infrastructure. ML workflows run on TensorFlow, PyTorch, and scikit-learn. Engineering and deployment tooling includes Kubernetes, Docker, Terraform, and Azure DevOps.

What is Onebridge working on?

Current projects focus on designing end-to-end data platforms using Databricks lakehouse architecture, implementing scalable batch and streaming pipelines, and leading cloud-based deployments. They also address migrations, data governance, and AI enablement for clients.

How this profile is built

Onebridge'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.