Senior Solution Architect, Enterprise
F
Fivetran Data Integration
Remotely in the US with strong preference for Central and East Coast timezone states: NC, NH, VT, MA, RI, CT, NY, NJ, PA, DE, MD, VA, TX, SC, GA, FL, DC, WV, Central and East Coast timezone statesFull-TimeSenior
Salary167983 - 209979 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSDockerPostgreSQLPythonSQLGCPGitKubernetesMicrosoft SQL ServerMySQLOracleSnowflakeAzureLinuxBigQueryRedshiftDatabricks
Requirements
- 8+ years of extensive experience in customer-facing teams
- Solid understanding of the data integration and replication space
- Proven ability to explain complex technical concepts to customers clearly
- Experience with a wide range of databases, data warehouses / lakehouses, and operating systems
- Strong proficiency in SQL
- Strong proficiency in command-line scripting
- Advanced understanding of networking approaches, including SSH tunneling, VPNs, and PrivateLink / private connectivity (AWS, Azure, GCP)
- Profound ability to analyze and resolve customer challenges, offering optimizations
- Exceptional verbal and written communication skills
- Self-motivated and customer-focused attitude
- Demonstrated ability to prioritize and organize work
- Familiarity with scripting and automation languages such as Python
- Experience with Kubernetes and containerized environments (e.g., Docker, Podman), including deployment, orchestration, and troubleshooting
Responsibilities
- Lead the installation and setup of Fivetran products for customers, ensuring environments are fully prepared for replication.
- Prepare environments for replication, including SQL scripting or command-line operations for transaction logging, archiving/backup, and table analysis/preparation.
- Configure high-volume database connectors using UIs, command-line tools, and/or APIs.
- Work in containerized environments, including Kubernetes, with hands-on involvement in deployment, configuration, and troubleshooting.
- Work closely with customer teams to identify, troubleshoot, and resolve issues during the implementation phase.
- Assist with data validation to ensure accurate data replication.
- Analyze and optimize performance to meet customer expectations.
- Offer database and environment tuning to enhance overall efficiency and effectiveness.
- Empower customer teams by providing hands-on training, detailed documentation, and ongoing support to manage their data pipelines.
- Liaise with customer stakeholders and internal teams including Account Executives, Customer Success Managers, Sales Engineers, Customer Support Engineers, Product Managers, and Software Engineers.
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