Forward Deployment Engineer

5–8+ years in a customer-facing technical role with strong ownership of architecture and delivery (FDE, Solutions Architect, PS Engineer, Consultant, etc.)

Deep experience with cloud platforms (AWS, Azure, GCP) and enterprise infrastructure and strong expertise in Kubernetes, containers, and Linux systems

Advanced proficiency in scripting and automation (Python, JavaScript, or similar)

Experience designing and implementing large-scale system integrations using APIs and distributed architectures

Strong understanding of SQL/NoSQL databases and unstructured data systems

Solid understanding of data security, privacy, governance, and compliance concepts

Experience with data access control, encryption, or masking within enterprise data platforms (e.g., Snowflake, Databricks, BigQuery)

Proven ability to operate in highly ambiguous environments and independently drive solutions end-to-end

Strong problem-solving skills with ability to handle high-severity, complex technical challenges

Excellent communication skills, including ability to engage with executive stakeholders

Experience with AI/ML systems, Generative AI, or RAG-based architectures

Background in data governance, DLP, DSPM, or privacy platforms

Experience with enterprise-scale distributed systems and large data environments

Familiarity with regulatory frameworks (GDPR, SOC2, ISO 27001, etc.)

Experience with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery)

Familiarity with enterprise tooling ecosystems (e.g., ServiceNow, Elastic)

Large-scale customer deployments are successfully delivered and scaled within defined timelines

Complex enterprise challenges are translated into scalable, repeatable architectural patterns

High-impact use cases drive measurable business outcomes (risk reduction, compliance, operational efficiency)

Customers achieve deep adoption, expansion, and long-term strategic partnership

Field insights consistently influence product roadmap, architecture, and company strategy

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