Securing Data With Precision and Scale in Modern Enterprises
Lead Forward Deployed Engineer
Location
United States
Posted
152 days ago
Salary
0
Seniority
Senior
Job Description
Lead Forward Deployed Engineer
Symmetry Systems
• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Mentor other Forward Deployed Engineers and set the bar for technical excellence, customer empathy, and execution. • Build reusable assets such as deployment playbooks, demo environments, reference architectures, and battle tested troubleshooting guides. • Create tight feedback loops with Product and Engineering, turning patterns from the field into roadmap input and shipped improvements.
Job Requirements
- 5 or more years of experience in roles such as Forward Deployed Engineer, Solutions Architect, hands on Sales Engineer, Customer Engineer, Security Engineer, or similar, with deep technical delivery rather than presentation only responsibilities.
- Proven ability to lead complex technical engagements with enterprise customers across security, data, platform, and executive stakeholders.
- Strong cloud fluency across AWS, Azure, and GCP, including IAM concepts, networking fundamentals, logging and audit patterns, and deploying production grade services.
- Comfort working with modern data ecosystems and the realities of data sprawl across warehouses, lakes, object stores, and SaaS platforms.
- Strong debugging and systems thinking skills, with the ability to isolate root cause from ambiguous symptoms and communicate clearly while unblocking teams.
- Ability to write production quality code or scripts when needed, for example in Python, Go, or TypeScript, and to reason deeply about APIs and integrations.
- Prior experience mentoring or leading others, either formally or informally, with a genuine interest in making the team better.
- Ability to set direction in ambiguous situations, make tradeoffs, and keep customers and internal teams aligned.
- Strong relationship skills and executive presence with calm, clear communication and high trust under pressure.
Benefits
- Flexible Work: Our workforce embraces flexibility, whether working from home or at our global locations. We encourage you to tailor your work style to suit your productivity.
- Equipment and Software: We provide a liberal expense policy for acquiring the tools you need to excel in your role.
- Training and Growth: Access exceptional technical, leadership, and organizational training opportunities tailored to your development needs.
- Recognition: We celebrate our employees' accomplishments through blog features, product showcases, and conference talks.
- Cutting-Edge Work: Be at the forefront of innovation in generative AI and ML applications within data security, and see your contributions used and valued by many.
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