
Senior Solutions Architect β Remote, Americas
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in North America.
β’ Manage the technical relationship for a designated portfolio of accounts.
β’ Oversee customer onboarding and implementation, guiding the process from integration design to production.
β’ Navigate challenging customer discussions and establish agreed-upon next steps.
β’ Proactively identify and document potential risks at an early stage.
β’ Convey technical scenarios effectively to data engineers, security reviewers, and executives.
β’ Diagnose issues related to failed runs, schema drift, connector and authentication failures, connectivity problems, and performance challenges.
β’ Conduct initial diagnostics and provide engineering teams with clear reproductions for escalation.
β’ Collaborate with Customer Success Managers and Support on renewal risks and communicate expansion opportunities to Sales.
β’ Provide mentorship to other Solutions Architects regarding customer engagement and problem-solving strategies.
β’ Generalist experience in software or data system development, with a working knowledge of Python, SQL, data pipelines, integration, cloud data platforms, authentication, networking, containers/Kubernetes, and Linux.
β’ Proficient in reading and modifying Python scripts and comprehending stack traces.
β’ Comfortable writing SQL queries that include joins, aggregations, and filters, as well as diagnosing slow queries.
β’ Familiar with at least one of the following: Snowflake, Databricks, BigQuery, Redshift, or another major cloud data warehouse.
β’ Understanding of APIs, webhooks, Change Data Capture (CDC), file-based ingestion, batch versus streaming processing, OAuth, Single Sign-On (SSO), service accounts, API keys, DNS, firewalls, private connectivity, VPNs, SSH tunnels, containers, Kubernetes, and Linux.
β’ Capable of explaining technical concepts to non-technical audiences.
β’ Skilled in managing customer conflicts, communicating limitations, and sustaining relationships.
β’ Proficient in drafting clear summaries, next steps, and responsible parties following significant discussions.
β’ Able to identify risks early and challenge inadequate requirements.
β’ A minimum of 5 years in a technical customer-facing role, including solutions architecture, implementation, technical account management, professional services, consulting, support engineering, or stakeholder-oriented data engineering.
β’ Some hands-on building experience is essential.
β’ Experience in owning accounts or projects throughout their delivery phases.
β’ Previous experience with data integration, ETL, or data platform vendors is a plus.
β’ A background in data or software engineering is advantageous.
β’ Experience in regulated industries is beneficial.
β’ Familiarity with entrepreneurial or fast-paced startup environments is a plus.
β’ Competitive salary and performance-based bonuses.
β’ Comprehensive health insurance plans.
β’ Opportunities for professional development and training.
β’ Flexible work hours and remote work options.
β’ A collaborative and innovative work environment.
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