The Challenge

We are looking for a Principal-level, US-based, customer-facing engineer who is deeply hands-on with large-scale, distributed data systems and passionate about solving complex customer problems. You will be the technical front line for our largest enterprise customers: diagnosing and resolving production issues, shaping solutions that unlock value from our platform, and translating real-world pain points into product and engineering priorities.

This is a high-impact, visible role that reports to the SVP of engineering and partners closely with Product Management, Support, Engineering, and Customer Success. Clear, crisp communication and strong customer empathy are essential.
You Will

• Act as the primary technical point of contact for a portfolio of strategic enterprise customers using our big-data and high-scale services.
• Diagnose and troubleshoot complex issues across distributed systems, data pipelines, APIs, and integrations, often in live or near-live production contexts.
• Reproduce, triage, and drive resolution of incidents in partnership with Product Engineering, SRE/CloudOps, and Support.
• Lead deep-dive technical sessions with customers to understand their architectures, data flows, performance constraints, and success metrics.
• Translate customer pain points into clear problem statements, technical requirements, and prioritized backlog items for Product Management and Engineering.
• Guide customers through best practices for scalability, reliability, cost efficiency, and observability when using our platform.
• Mentor Support and Customer Success teams on technical topics so they can handle a broader range of issues independently.
• Create high-quality technical assets: runbooks, knowledge base articles, reference architectures, sample code, and internal playbooks.
• Participate in incident postmortems and drive improvements to product, tooling, and processes that reduce recurrence.
• Provide structured, data-driven feedback to Product Management on roadmap, usability, and technical gaps surfaced through customer engagements.

You Experience Includes

• 12+ years of hands-on engineering experience, with at least 3 years in a customer-facing role (e.g., Solutions Engineer, Customer/Field Engineer, Technical Account Manager, or similar)
• Distributed datastores or warehouses (e.g., Cosmos DB, BigQuery, Snowflake, Databricks, Cassandra, MongoDB, similar)
• Large-scale data processing frameworks (e.g., Spark, Flink, Kafka, streaming pipelines)
• High-throughput, low-latency APIs and services in a cloud environment
• Proven track record of troubleshooting complex production issues across multiple layers (application, data, infrastructure, network)
• Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including monitoring, logging, and observability tooling
• Strong scripting or programming skills (e.g., Python, Java, C#, or similar), sufficient to analyze logs, build small tools, and understand production code paths
• Ability to explain complex technical concepts in simple, business-relevant language
• Comfortable presenting to both engineers and executive stakeholders at enterprise customers
• Demonstrated customer empathy and ownership: you care about outcomes, not just tickets closed

Nice-to-Have Experience

• Experience in B2B SaaS, especially in data, security, privacy, or compliance domains.
• Background in high-scale multi-tenant architectures and performance optimization.
• Familiarity with incident management practices and tools (e.g., runbooks, on-call rotations, incident command structures).
• Experience working with product managers to shape roadmaps based on customer needs and operational insights.
• Prior exposure to consent, privacy, or data governance systems is a plus, but not required.

What Success Looks Like

In this role, success means:

• Our largest enterprise customers see you as a trusted technical partner who understands their environment and advocates for them internally.
• Critical incidents are resolved faster, with clearer communication, better root-cause analysis, and fewer repeats.
• Product and engineering teams receive well-structured, actionable feedback that influences roadmap and technical investment.
• Support and Customer Success teams become more effective and self-sufficient because of your guidance, enablement, and assets.
• Overall customer satisfaction and platform adoption improve measurably for the accounts you support.

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Salary Range

$196,500-$294,750 USD

Where we Work

We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.

Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits

As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.