Staff Software Engineer - Data Clean Rooms (C360 Team)

Staff Software Engineer Data Clean Room, (C360 Team), Hyderabad

Role Overview

We are seeking a highly motivated and hands-on Staff Software Engineer to provide technical leadership while actively contributing to the design and development of scalable cloud-based data products and services.

In this role, you will work closely with Architects, Data Scientists, ML Engineers, Product Managers, Software Engineers, and Senior Leadership to build mission-critical data solutions using modern cloud technologies, Agile methodologies, and engineering best practices.

A primary focus of this position is building and scaling Data Clean Room integrations and privacy-preserving collaboration capabilities that support Advertising Sales and other high-visibility revenue stakeholders.

Roles Responsibilities

• Lead the technical design and implementation of major platform enhancements and new product capabilities.

• Produce clear, scalable, and actionable technical designs while guiding execution across multiple teams.

• Design complex architectures and system components that solve business problems using pragmatic, maintainable, and scalable engineering solutions.

• Establish and promote engineering standards, best practices, and architectural principles across teams.

• Serve as a technical mentor and multiplier by elevating engineering quality and fostering technical excellence.

• Design, develop, and maintain cloud-based data services that power Data Clean Room workflows, including onboarding, policy enforcement, audience overlap analysis, measurement, and activation.

• Engineer and own complex data transformation, cleansing, imputation, and preparation processes to ensure high-quality downstream analytics, machine learning, and reporting.

• Build privacy-safe collaboration capabilities such as audience overlap analysis, attribution modeling, conversion measurement, and lookalike audience modeling through scalable APIs and reusable platform services.

• Partner closely with business stakeholders to understand challenges and translate requirements into scalable technical solutions.

• Collaborate with Data Science, Analytics, and Engineering teams to deliver data-driven and ML-powered products.

• Provide guidance on data architecture, governance, and platform design decisions.

• Build highly reliable, secure, observable, and scalable production systems.

• Contribute to operational readiness, monitoring, incident management, and support processes.

• Participate in on-call rotations and incident response activities where applicable.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.