Customer Solutions Architect
🏢 Fivetran · all Fivetran jobs
📍 Japan
📅 Posted 2026-07-31 · via Himalayas
🏷 Sales-Department,Customer-Solutions-Architect,Customer-Solution-Architect,Client-Solutions-Architect,CX-Solutions-Architect,Customer-Success-Architect,Senior-Client-Solutions-Architect
Apply on original site ↗From Fivetran ’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran , customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a Customer Solutions Architect (CSA) to join our Enterprise team, focused on driving adoption, value realisation and expansion across our existing customer base. The CSA is the primary post-sales technical owner for Enterprise customers. Working alongside Account Executives (AEs) and Sales Engineers (SEs), the CSA ensures that customers not only successfully deploy Fivetran , but continue to scale and expand its usage over time.
This role operates as a technical account manager and strategic advisor, acting as the bridge between initial onboarding success and long-term growth. The CSA owns the technical narrative post-go-live, guding customers through architecture evolution, adoption, and expansion initiatives.Unlike implementation-focused roles, the CSA is a non-billable, expansion-focused position, measured on driving incremental ARR, adoption, and Net Revenue Retention (NRR).You will act as a trusted advisor, advocate and accelerator for your customers - ensuring they derive maximum value from their data investments while aligning their technical roadmap with Fivetran ’s platform capabilities.
This is a full-time, remote position based in Japan.
Technologies You’ll Work
- Databases: SAP HANA, Oracle, SQL Server, Postgres
- Data Platforms: Snowflake, Databricks, BigQuery, Redshift
- Languages: SQL, Python, bash or powershell
- Networking: SSH tunneling, VPNs, PrivateLink
- Modern Data Stack tools and ecosystem technologies
What You’ll Do
Customer Adoption & Value Realisation
- Own post-sales technical engagement across assigned Enterprise accounts
- Drive adoption, optimisation and ongoing usage of Fivetran
- Deliver enablement sessions, workshops and best-practice guidance
- Monitor account health signals (usage, performance, support trends) and proactively intervene where needed
- Ensure customers move from initial deployment to sustained, scalable success
Expansion & Growth Enablement
- Identify, validate and execute expansion opportunities across business units, regions and use-cases
- Translate customer initiatives into scalable data workloads and technical solutions
- Partner with AEs to drive incremental ARR through structured expansion plays
- Lead technical validation of new workloads, including workshops and (where necessary) POCs
- Replicate successful use-cases across the organisation to accelerate growth
Technical Strategy & Architecture
- Act as the chief technical stakeholder for assigned accounts post-go-live
- Define and maintain Enterprise Reference Architectures aligned to customer environments
- Ensure architectural consistency and scalability across all implementations
- Guide customers on best practices for data pipelines, automation, and platform adoption
- Maintain technical artefacts such as architecture documentation, design patterns, and knowledge bases
Stakeholder Engagement & Alignment
- Build and maintain relationships with technical, operational and executive stakeholders
- Develop and maintain stakeholder maps and multi-threaded engagement strategies
- Run regular technical cadence calls, business reviews and roadmap sessions
- Align customer technical strategy with business objectives and commercial plans
Internal & Partner Collaboration
- Act as the technical orchestrator across Sales, Professional Services, Product and Engineering
- Advocate for customer needs internally, influencing product roadmap and priorities
- Collaborate with technology partners (e.g. Snowflake, Databricks, AWS, GCP) to drive joint value
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