Senior Solutions Architect owning onboarding, troubleshooting, and adoption for Nexla’s enterprise data integration customers. Translating complex data systems into reliable outcomes across customer accounts.
Responsibilities
Own the technical relationship for a portfolio of accounts
Lead customer onboarding and implementation from integration design through production
Manage difficult customer conversations and agree on next steps
Identify and document risks early
Translate technical situations for data engineers, security reviewers, and executives
Troubleshoot failed runs, schema drift, connector and authentication failures, connectivity problems, and performance issues
Perform first-line diagnosis and provide engineering with clear reproductions for escalations
Partner with CSM and Support on renewal risk and hand expansion signals to Sales
Mentor other Solutions Architects on customer handling and problem solving
Requirements
Generalist experience building software or data systems, with conversational familiarity across Python, SQL, data pipelines and integration, cloud data platforms, authentication, networking, containers/Kubernetes, and Linux
Ability to read and modify Python scripts and understand stack traces
Comfortable writing SQL joins, aggregations, and filters and diagnosing slow queries
Working familiarity with at least one of Snowflake, Databricks, BigQuery, Redshift, or a major cloud data warehouse
Understanding of APIs, webhooks, CDC, file-based ingestion, batch versus streaming, OAuth, SSO, service accounts, API keys, DNS, firewalls, private connectivity, VPNs, SSH tunnels, containers, Kubernetes, and Linux
Ability to explain technical concepts to non-technical stakeholders
Ability to handle customer conflict, communicate limitations, and maintain relationships
Ability to write clear summaries, next steps, and owners after meaningful calls
Ability to raise risks early and push back on bad requirements
5+ years in technical customer-facing work, including solutions architecture, implementation, technical account management, professional services, consulting, support engineering, or stakeholder-facing data engineering
At least some hands-on building experience
Experience owning accounts or projects through delivery
Prior data integration, ETL, or data platform vendor experience is nice to have
Data or software engineering background is nice to have
Regulated-industry experience is nice to have
Entrepreneurial or fast-paced startup experience is nice to have
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