Forward Deployment Engineer
On-siteBrisbane, Queensland, Australia
Job Summary
Lead complex, multi-phase deployments across cloud and on-prem environments, embedding deeply within enterprise customer engineering teams to drive end-to-end outcomes from initial architecture through production scale. Design and own scalable architectures for data discovery, classification, governance, and AI use cases, translating ambiguous business problems into structured technical solutions while resolving critical infrastructure challenges. Guide large-scale integrations using APIs and automation, develop reusable frameworks, and influence product roadmap based on field insights. Mentor junior engineers, establish architectural standards, and lead executive-level technical discussions to ensure successful delivery and adoption.
Required Qualifications
- 5–8+ years in a customer-facing technical role with strong ownership of architecture and delivery
- Deep experience with cloud platforms (AWS, Azure, GCP)
- 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
- 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
Desired Qualifications
- 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)
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