Big Data Engineering Team for SaaS Product Scaling

Project Overview

A growing U.S.-based SaaS startup approached Centizen with a critical requirement: to build out their Big Data capabilities and strengthen their product infrastructure ahead of a beta launch. The startup had just completed internal QA for its core platform but lacked the resources to scale backend data operations and handle upcoming user loads.

Facing aggressive timelines, budget limitations, and difficulty hiring niche talent in the U.S., the company turned to Centizen to assemble a capable remote development team. Leveraging our global talent pool and streamlined hiring model, Centizen delivered a high-performing offshore data engineering team that modernized their backend, accelerated deployment, and kept them on track for a successful market release.

Challenges

• Limited in-house experience with Big Data tools like Spark and Kafka.
• Backed data processing was too slow for beta-level traffic.
• The U.S. hiring market was competitive and cost-intensive.
• Tight deadlines to complete beta testing and documentation.
• Need to scale engineering without adding internal HR overhead.

Solutions Delivered

Rapid Deployment of Niche Data Talent

Hiring Big Data experts in the U.S. was both time-consuming and costly.

Centizen’s Solution:

We delivered a remote team of six developers in under 4 weeks. Each candidate had prior experience in building scalable data pipelines and distributed processing systems. The team was sourced from India, rigorously vetted, and fully remote-ready.

Backend Data Modernization for Beta Launch

The existing data backend couldn’t handle real-time ingestion and reporting needs.

Centizen’s Solution:

Our engineers restructured the backend using Apache Spark for batch processing and Kafka for streaming data pipelines. They also introduced Airflow for orchestration and migrated key components to AWS for scalability. This enabled the client to transition smoothly from alpha to beta with confidence in system stability.

Flexible Team Scaling Model

The startup needed to scale fast, without committing to long-term headcount in an uncertain economic environment.

Centizen’s Solution:

Centizen offered a flexible, milestone-based team model. The client ramped up for a 6-month build and test phase, then scaled down after product stabilization, saving costs and avoiding idle bench time.

Low Overhead, Full Support

The client had no capacity to manage remote team logistics or HR in-house.

Centizen’s Solution:

We managed the entire team lifecycle: recruitment, onboarding, local compliance, payroll, and even backup coverage in case of attrition. The client focused on product delivery while we ensured operational continuity.

Hear from Our Client

“Finding Big Data engineers locally was next to impossible within our budget. Centizen delivered a team that not only met the tech requirements but also integrated seamlessly with our product team.”

– VP of Engineering

A U.S.-based SaaS Startup

Build Scalable Data Teams with Centizen

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