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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing technical relationships and customer onboarding for data systems, with strong capabilities in troubleshooting, risk identification, and effective communication with both technical and non-technical stakeholders.
Highest-signal resume keywords
Python ProgrammingSQL Query WritingData Pipeline IntegrationCloud Data PlatformsTechnical Account Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData PipelinesIntegration DesignTroubleshootingAPIsETLData IntegrationSchema DriftPerformance Diagnosis
Soft Skills
Customer Conflict ManagementEffective CommunicationMentoringRelationship MaintenanceRisk Identification
Tools & Technologies
SnowflakeDatabricksBigQueryRedshiftKubernetesLinuxOAuthSSOVPNsSSH Tunnels
Industry Keywords
Technical Account ManagementSolutions ArchitectureData EngineeringProfessional ServicesRegulated Industry Experience
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudDNSETLFirewallsKubernetesLinuxPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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