Senior Solutions Architect, Airbyte

• 6+ years of experience in a customer-facing post-sales technical role such as Solutions Architect, Technical Account Manager, Resident Solutions Architect, Professional Services Engineer, Customer Engineer, or technical consultant
• Experience owning long-term technical relationships with enterprise customers across onboarding, implementation, adoption, troubleshooting, and expansion
• Strong, hands-on Kubernetes experience in production environments. You should be comfortable independently troubleshooting workloads, pods, deployments, networking, storage, resource management, logs, and cluster-level issues
• Experience deploying, operating, or troubleshooting applications running on Kubernetes, not just designing or advising on Kubernetes architecture
• Strong understanding of cloud infrastructure and production systems
• Deep understanding of database technologies, including SQL, CDC, database replication, and data synchronization
• Strong knowledge of REST APIs, HTTP, authentication, OAuth, API keys, JWT, webhooks, and JSON
• 2+ years of experience in a startup environment, ideally within modern data infrastructure, cloud infrastructure, databases, ELT/ETL, developer tools, or data warehouses
• Experience supporting technically complex products that directly impact customer operations or business productivity
• Strong customer orientation with a track record of driving successful onboarding, implementation, adoption, and ongoing technical outcomes
• Strong interpersonal, communication, and presentation skills
• Ability to build credibility with engineers while also communicating effectively with technical leadership and business stakeholders
• If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!

Desirable

• As an Airbyte Senior Solutions Architect, you will serve as a trusted post-sales technical partner to enterprise customers, helping them successfully onboard, implement, adopt, and expand their use of Airbyte
• You will own the technical customer relationship after the sale, working closely with customer engineering, platform, infrastructure, and data teams to understand their environment, guide implementation, troubleshoot issues, and ensure they are getting long-term value from Airbyte
• This is also a highly hands-on technical role. A major part of the job involves working directly in customer Kubernetes environments to deploy, configure, troubleshoot, and optimize Airbyte in production
• You should be comfortable getting into the weeds with customers across workloads, pods, networking, storage, resource management, APIs, databases, CDC, and data movement issues
• You will act as the bridge between customers and Airbyte’s Support, Product, Engineering, and Sales teams, serving as the internal source of truth for customer technical needs while helping drive adoption, retention, and expansion
• Joining Airbyte at this stage means working at the intersection of data infrastructure, cloud platforms, and AI while helping shape how enterprise customers successfully deploy and scale our products
• Serve as the primary technical partner for enterprise customers after the sale, owning the technical relationship throughout onboarding, implementation, adoption, and expansion
• Build trusted relationships with customer engineering, infrastructure, platform, and data teams
• Develop a deep understanding of each customer’s architecture, use cases, technical requirements, and long-term goals
• Guide customers through implementation and adoption while proactively identifying risks, blockers, and opportunities to improve their deployment
• Partner with customers to define technical success and ensure they are realizing measurable value from Airbyte
• Coordinate with Airbyte Support, Product, and Engineering to resolve complex customer issues and drive successful outcomes
• Act as the internal source of truth for customer technical requirements, infrastructure constraints, product feedback, and feature needs
• Identify opportunities for broader adoption and expansion in partnership with Sales and Customer Success
• Build long-term technical relationships that improve customer satisfaction, retention, and growth
• Work directly in customer Kubernetes environments to deploy, configure, troubleshoot, and optimize Airbyte in production
• Troubleshoot Kubernetes workloads, pods, deployments, networking, storage, resource allocation, scheduling, logs, and performance issues
• Diagnose complex production issues across Kubernetes clusters and work alongside customer engineering teams to identify root causes and implement solutions
• Help customers apply Kubernetes best practices related to reliability, scalability, observability, and resource management
• Lead technical implementation projects and ensure Airbyte is configured successfully within customer infrastructure, security, and operational requirements
• Troubleshoot complex data movement issues involving SQL databases, CDC, database replication, and data synchronization
• Work with REST APIs, HTTP, authentication, OAuth, API keys, JWT, webhooks, and JSON to diagnose and resolve integration issues
• Advise customers on integrating LLM-based tooling and AI workflows into their existing data infrastructure alongside Airbyte connectors
• Partner closely with Product and Engineering to surface recurring customer challenges and influence the roadmap
• Collaborate with Support to resolve complex technical issues and improve escalation paths
• Work with Sales to identify technical opportunities for expansion within existing customers
• Help improve onboarding playbooks, implementation guides, troubleshooting documentation, and customer best practices
• Share customer feedback and technical insights internally to improve the overall enterprise customer experience
• Demonstrate Airbyte architecture, implementation patterns, and best practices to customers and at industry events
• Serve as a technical ambassador for Airbyte with customers and the broader developer and data community
• Evangelize best practices for building reliable, scalable, and AI-ready data infrastructure
• Create technical content such as blog posts, demos, implementation guides, and conference talks