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Solution Architect, Enterprise

Posted 1 day agoViewed

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💎 Seniority level: Middle, 3+ years

🔍 Industry: Data Integration

🏢 Company: Fivetran

🗣️ Languages: English

⏳ Experience: 3+ years

Requirements:
  • At least 3 years of experience in a customer-facing role, with a focus on data integration solutions and software development.
  • Strong proficiency in Python programming, with experience in data extraction, transformation, and loading (ETL) processes.
  • Experience with the Fivetran Connector SDK is highly desirable.
  • Solid understanding of data integration and replication concepts.
  • Experience with various databases, data warehouses, and operating systems.
  • Proficiency in SQL and command-line scripting.
  • Familiarity with networking concepts, including SSH tunneling and VPNs.
  • Excellent problem-solving and debugging skills, with the ability to analyze complex technical issues and provide effective solutions.
  • Strong verbal and written communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
  • A proactive approach to managing tasks, meeting deadlines, and ensuring customer satisfaction.
  • Proven ability to prioritize and organize tasks effectively.
  • Knowledge of software development best practices, including version control (git), testing, and documentation.
Responsibilities:
  • Lead customers in the design, development, and deployment of custom connectors using the Fivetran Connector SDK.
  • Developing Python code to extract data from various sources.
  • Guiding customers through the process of defining data schemas and handling data transformations.
  • Providing code reviews and best practices for connector development.
  • Troubleshooting issues related to custom connector development and deployment.
  • Optimizing connector performance and efficiency.
  • Developing and maintaining documentation, code samples, and training materials.
  • Conducting training sessions and workshops on connector development.
  • Creating comprehensive documentation and tutorials.
  • Providing ongoing support and mentorship.
  • Provide feedback on the Connector SDK and identify areas for improvement.
  • Contribute to the development of new features and enhancements.
  • Ensure seamless integration of custom connectors with the Fivetran platform.
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🔥 Senior Solution Architect - Enterprise
Posted 16 days ago

📍 United States

🧭 Full-Time

💸 166320.0 - 207900.0 USD per year

🔍 Software Development

🏢 Company: Fivetran

  • 6 to 8 years in a customer-facing technical role involving data architecture, integration or infrastructure
  • Strong understanding of replication, CDC, and ELT/ETL workflows
  • Strong Experience in designing and implementing scalable data lake architectures using AWS S3, Azure Data Lake Storage (ADLS2), or Google Cloud Storage (GCS)
  • Strong hands-on experience with open table formats such as Delta Lake and Apache Iceberg, including use cases for ACID compliance, schema evolution, partition pruning, and time travel
  • Proven ability to guide enterprise customers in selecting, deploying, and operationalizing modern lakehouse architectures using Delta Lake or Iceberg integrated with Snowflake, BigQuery, or Databricks
  • Proficiency in SQL and command-line scripting, with experience across multiple databases, warehouses, and OS platforms
  • Extensive experience configuring secure networking connectivity including SSH tunneling, VPNs, Private Links and enterprise networking
  • Experience deploying and managing containerized workloads using Docker, Podman, and Kubernetes
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly
  • Guide customers through installing and configuring Fivetran connectors, ensuring replication readiness (full transactional logging, archiving, etc.)
  • Assist with Hybrid Deployment in containerized environments using Docker, Podman, and Kubernetes
  • Partner with customers to validate data, troubleshoot issues, and optimize source systems and pipelines
  • Deliver best-practice guidance, training, documentation, and post-deployment support to enable customer self-sufficiency
  • Provide guidance on setting up network configurations including SSH, Private Link etc.
  • Collaborate with internal teams — Product, Support, Success, and Engineering — to ensure successful delivery and customer outcomes

AWSDockerPostgreSQLSQLBashCloud ComputingETLGCPKubernetesMicrosoft SQL ServerMySQLOracleSnowflakeAzureREST APICI/CDCustomer serviceLinuxNetworkingExcellent communication skillsTroubleshootingData modeling

Posted 16 days ago
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