Hire Platform Engineers in India

Hire experienced on-demand platform engineers to design, manage, and optimize high-performance data platforms without the complexity of full-time hiring. Our pre-vetted platform engineers help organizations accelerate analytics, AI, and business intelligence initiatives by delivering reliable, scalable, and cost-efficient data infrastructure.
From Snowflake and Databricks to BigQuery, Spark optimization, and dbt modeling, we provide flexible engagement models tailored to your platform engineering needs.

Explore the Future

Why Choose Our On-Demand Platform Engineers

Work with senior, enterprise-ready platform engineers who integrate seamlessly with your existing teams, tools, and workflows. Eliminate long recruitment cycles and start delivering value immediately.

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Instant Team Expansion
Deploy experienced platform engineers within 24–72 hours.
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Flexible Engagement
Choose fixed-time contracts or pay-per-hour models.
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Secure & Compliant
Engineers experienced in HIPAA, HITECH, GDPR, and SOC 2–compliant platform.
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Enterprise-Ready Talent
Platform engineers skilled in modern data platforms, cloud-native architectures.
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Cost-Optimized Models
Avoid hiring overhead and pay only for productive engineering hours.
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High-Performance Delivery
Benefit from managed workflows and transparent reporting across data.

DataTheta Engagement Models for Client Project

Flexible engagement models designed to match your project needs are scalable, cost-efficient, and built for predictable, high-quality delivery.

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Fixed-Time Platform Engineers

Best suited for long-term initiatives such as data platform modernization, cloud migrations, and lakehouse adoption.

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Pay-Per-Hour Platform Engineers

Ideal for short-term needs, performance tuning, platform troubleshooting, optimization tasks, and proof-of-concept work.

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Dedicated Platform Engineering Pods

A fully managed team of platform engineers and specialists working exclusively on your data infrastructure roadmap.

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Offshore and GCC Platform Teams

Build and scale offshore platform engineering teams with complete support for hiring, operations, and compliance.

98%
Client Satisfaction
Our Hiring and
Delivery Process
02.
Engineer Shortlisting and Vetting

You receive a curated shortlist of pre-vetted platform engineers aligned with your technical and domain requirements.

04.
Delivery and Continuous Scaling

Execution is supported by performance tracking, regular updates, and the flexibility to scale resources as your platform needs evolve.

01.
Requirement Analysis and Skill Mapping

We begin by understanding your existing data platforms, business objectives, tools, and performance goals to define the ideal platform engineering profile.

03.
Fast Onboarding (Within 48–72 Hours)

Selected engineers are onboarded within 48–72 hours and integrate quickly into your workflows and collaboration tools.

Key Benefits of Hiring On-Demand Developers from DataTheta

01
Senior, Pre-Vetted
Engineers

Every DataTheta engineer undergoes a rigorous multi-stage evaluation process to ensure you work only with proven, high-performing experts who can contribute productively from day one.

02
No Hiring Delays Start in
48 Hours

Avoid lengthy recruitment cycles. Our streamlined onboarding process allows you to deploy skilled engineers quickly so your projects continue without disruption.

03
Flexible Engagement
Models

Choose an engagement model that fits your workload. Hire engineers on an hourly, weekly, monthly, or fixed-timeline basis with no long-term contractual commitments.

04
Complete Transparency
& Full Control

Work directly with your assigned engineer, monitor progress in real time, and receive clear, consistent updates with no hidden costs or overhead.

05
Scalable Teams for Any Technology Stack

Easily scale your engineering team up or down based on evolving platform requirements, workloads, and business demand.

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Secure and NDA-Protected Development

Your platform configurations, data, and intellectual property remain fully protected through signed NDAs, enterprise-grade security practices, and strict confidentiality standards.

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Build Your Team Faster with DataTheta’s On-Demand Developers

Get reliable, skilled, and industry-aligned developers - whenever you need them.

You Have Questions - We Have Answer

What does “Hire Developers on Demand” mean at DataTheta?
How does the Fixed-Time Resource / Pay-Per-Hour model work?
What type of developers and specialists can I hire from DataTheta?
How fast can DataTheta provide a developer or a team?
How does DataTheta ensure quality and accountability for hired resources?

What does on-demand platform engineering mean?

On-demand platform engineering allows you to hire experienced platform engineers quickly without long-term hiring commitments. You can engage engineers on a flexible basis to build, optimize, or manage modern data platforms, enabling you to scale infrastructure capabilities exactly when required.

What types of platform engineering work can your engineers handle?

Our platform engineers handle cloud data platforms, lakehouse architectures, Spark optimization, dbt modeling, performance tuning, cost optimization, and platform reliability across modern cloud and enterprise environments.

How quickly can a platform engineer be onboarded?

Qualified platform engineer profiles are typically shared within 24 hours of requirement confirmation. Once selected, onboarding is completed within 48 to 72 hours, ensuring your platform initiatives move forward without delays.

What engagement and pricing models do you offer?

We offer flexible engagement options, including pay-per-hour, monthly fixed-time resources, and dedicated platform engineering pods. This ensures you pay only for productive work while maintaining transparency and cost control.

How do you ensure data quality, security, and accountability?

Security and performance are ensured through best-practice configurations, monitoring, and optimization. Accountability is maintained through sprint tracking, progress reporting, and performance reviews. All engagements are governed by NDAs and enterprise-grade security standards.