LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.
You will:
- Design and maintain AWS-based/ GCP-based infrastructure (e.g., IAM, S3, SNS, Lambda, ECS/EKS, VPC) that supports clean room workloads and high-availability production systems.
- Build reusable Terraform modules and codified infrastructure standards to enable safe, repeatable deployments across environments.
- Architect secure, multi-tenant data collaboration environments that enforce strong isolation while supporting diverse customer use cases.
- Continuously improve platform scalability, performance, and cost efficiency through capacity planning, right‑sizing, and architectural optimizations.
- Implement and maintain least-privilege IAM policies, cross-account access controls, and secure connectivity between customers, partners, and LiveRamp environments.
- Contribute to audit readiness by implementing traceability, access logging, and controls that support internal and external audits and incident response.
- Design and operate CI/CD pipelines (e.g., GitHub Actions, CodePipeline) for clean room services, infrastructure, and supporting tooling.
- Improve developer workflows and environment isolation (dev/stage/prod), including safe rollout strategies, testing practices, and configuration management.
- Automate onboarding and lifecycle management for new clients and data partners, including provisioning, configuration, and guardrails.
- Implement and evolve observability across platform services, including metrics, logs, traces, and actionable alerting.
- Lead efforts to improve system reliability, reduce operational toil, and increase the level of automation in day‑to‑day operations.
- Lead root cause analysis and post-incident reviews, drive remediation plans, and institutionalize learnings through documentation and standards.
- Mentor other engineers, influence platform architecture decisions, and help set best practices for secure, cloud-native data collaboration.
- Partner closely with application engineers, data teams, security, and compliance to design end‑to‑end solutions for privacy‑preserving data collaboration.
- Tackle complex multi-cloud and cross-account integration challenges with customers and partners across the marketing and advertising data ecosystem.
- Continuously evolve the platform to support new privacy-enhancing technologies, data platforms, and regulatory requirements.
About you:
- 8+ years of software, platform, or infrastructure engineering experience, including operating production systems with high availability requirements.
- Strong hands-on experience with AWS/GCP, including services such as IAM, S3, SNS, Lambda, ECS/EKS, and VPC.
- Deep experience with Terraform or similar infrastructure-as-code tooling, including designing reusable modules and patterns.
- Solid experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, CodePipeline, or similar) for applications and infrastructure.
- Strong understanding of security in data-sharing or multi-tenant environments (e.g., least‑privilege access, network isolation, encryption, key management).
- Demonstrated experience designing, operating, and troubleshooting distributed systems in production (including monitoring, alerting, and incident response).
- Comfortable leading cross-functional technical initiatives and mentoring engineers across disciplines.
- Clear, direct communication skills and a collaborative working style; able to align stakeholders around technical decisions.
Preferred Skills:
- Experience working with data clean rooms or secure data collaboration platforms.
- Familiarity with modern data platforms such as Snowflake, Databricks, BigQuery, or similar cloud data warehouses and lakehouses.
- Experience in marketing, advertising, or identity/data collaboration ecosystems.
