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Solution Architect - Onboarding

🕒 25 days ago
Cloud ProvisioningSecurity HardeningNetworkingData Modelling

📜 Description

  • Lead complex technical discovery sessions with enterprise customers to align on success criteria, KPIs, milestones, and mitigation strategies for project risks.
  • Guide the instantiation of Neo4j AuraDB environments or self-managed clusters across AWS, Azure, and GCP, establishing secure network architectures utilizing private endpoints and IP allow lists.
  • Implement baseline system hardening, TLS/SSL termination, encryption-at-rest protocols, and enforce least-privileged access through enterprise SSO and RBAC configurations.
  • Architect robust data ingestion pipelines (bulk imports, stream processing, Change Data Capture) and advise development teams on Neo4j driver optimization, connection pooling, and retry logic.
  • Assist customers in configuring enterprise observability tools for logs and metrics, while delivering best-practice workshops on Cypher query performance and backup/restore planning.
  • Produce high-quality technical deliverables—including architecture diagrams, Architectural Decision Records (ADRs), and a next-step backlog.

🛠️ Requirements

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in a highly technical, customer-facing role (e.g., Onboarding Engineering, Customer Success Engineering, DevOps/Platform Engineering, or Technical Consulting).
  • Hands-on experience with production workloads in at least one major cloud provider ecosystem (AWS, Azure, or Google Cloud).
  • Deep technical proficiency in core networking infrastructure, including VPC/VNet architectures, routing protocols, peering, and PrivateLink/Private Endpoints.
  • Proven track record implementing Enterprise Identity and Access Management (IAM), including SSO (OIDC/SAML) and Role-Based Access Control (RBAC) design.
  • Strong proficiency in Infrastructure-as-Code (IaC) utilising Terraform, alongside configuration management tools like Ansible.
  • Experience with Linux administration, containerisation, and orchestration platforms (Docker, Kubernetes, or managed container environments).
  • Hands-on experience with graph databases (ideally Neo4j) and proficiency in database querying and performance tuning (e.g., Cypher query optimisation).
  • Familiarity with modern observability stacks (Grafana/Prometheus, Datadog, CloudWatch, Splunk) and enterprise data movement frameworks (ETL/CDC platforms).
  • Exposure to cloud compliance frameworks (SOC 2, GDPR, HIPAA) and data residency deployment patterns.
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