Senior Solutions Architect
Remote$213k - $255kFull-timePosted 2mo ago
About the role
Senior Solutions Architect responsible for post-sales technical success with enterprise customers, hands-on Kubernetes implementation, and cross-functional collaboration to drive adoption, retention, and expansion of Airbyte.
Responsibilities
- Own Post-Sales Technical Success: 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.
- Hands-On Kubernetes & Technical Implementation: 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.
- Cross-Functional Collaboration: 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.
- Advocacy and Evangelism: 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.
Qualifications
- 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.
Skills
Required:KubernetesCloud infrastructureSQL, CDC, database replication, data synchronizationREST APIs, HTTP, authentication, OAuth, API keys, JWT, webhooks, JSON
Benefits
- Flexible PTO with a culture that encourages at least 25 days off annually
- 16 weeks fully paid parental leave for all parents
- Comprehensive medical, dental, and vision coverage for employees and dependents
- 401(k) retirement plan
- Professional development budget, conference sponsorship, and book reimbursement
- Commuter benefits and monthly internet reimbursement
- Breakfast and lunch in our San Francisco office
- A collaborative, in-person culture focused on learning, growth, and impact
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Airbyte
Open Data Movement Platform
Airbyte is the leading open data movement platform that empowers data teams in the AI era by transforming raw data into actionable intelligence. With the largest catalog of over 350 connectors, it offers low-code, no-code, and AI-powered connector development, and provides flexible deployment options across self-hosted, cloud, and hybrid environments. https://github.com/airbytehq/airbyte
artificial-intelligencedeveloper-toolsopen-sourcedata-engineering
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