Full-Time

Lead Sales Engineer

Enterprise

Confirmed live in the last 24 hours

Fivetran

Fivetran

1,001-5,000 employees

Automated data movement and management platform

Data & Analytics
Enterprise Software
Cybersecurity

Expert

United Kingdom

Full-time position based out of Ireland, Germany, France, or the UK.

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
BigQuery
Apache Kafka
Java
AWS
Linux/Unix
Databricks
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • 10+ years in data replication, sales engineering, or related technical field
  • Strong technical background covering database replication, cloud infrastructure, and data replication technologies
  • Experience with modern data analytics technologies, including cloud data warehouses, data lakes, transformation tooling, data catalogs, and BI tools
  • Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Strong problem-solving and analytical skills
  • Technologies: AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java
Responsibilities
  • Work with Enterprise customers to understand their business, their use cases, and their data replication requirements
  • Develop and deliver technical presentations to Enterprise audiences
  • Ensure the technical win by running a tight proof-of-value process
  • Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs
  • Develop and maintain relationships with key Enterprise customers and partners
  • Stay up-to-date on the latest technologies and trends in our industry

Fivetran offers an automated platform for data movement that helps businesses manage their data efficiently through a process called ELT (Extract, Load, Transform). It features over 400 pre-built, no-code connectors that simplify linking various data sources and automatically handles updates, data normalization, and schema drift. Fivetran stands out from competitors by focusing on automation and security, ensuring compliance with data protection regulations. The company's goal is to make data movement seamless and secure, enabling better decision-making for businesses.

Company Stage

Debt Financing

Total Funding

$707.7M

Headquarters

Oakland, California

Founded

2012

Growth & Insights
Headcount

6 month growth

3%

1 year growth

6%

2 year growth

5%
Simplify Jobs

Simplify's Take

What believers are saying

  • Fivetran's partnerships with major companies like BOOST and Deliveroo demonstrate its capability to handle complex data integration needs, leading to improved customer experiences and operational efficiencies.
  • The recent milestone of surpassing 500 connectors and continuous product innovation, such as the dbt Cloud orchestration integration, highlight Fivetran's commitment to staying ahead in the data integration market.
  • Recognition as a Challenger in the 2023 Gartner Magic Quadrant for Data Integration indicates strong market positioning and potential for further growth.

What critics are saying

  • The highly competitive nature of the data integration market, with major players like Informatica and Talend, could pressure Fivetran to continuously innovate to maintain its market position.
  • Dependence on third-party platforms like Snowflake and Looker for data storage and analysis could pose integration challenges and limit flexibility.

What makes Fivetran unique

  • Fivetran's platform offers over 500 pre-built, no-code source connectors, the largest number in the data movement industry, simplifying data integration for clients.
  • The company's focus on automating the entire ELT process, including handling schema drift and data normalization, sets it apart from competitors who may require more manual intervention.
  • Fivetran's strong emphasis on security, with features like HITRUST certification and compliance with GDPR and HIPAA, provides a competitive edge in industries with stringent data protection requirements.

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