Senior Staff Data & Integrations Systems Engineer

Fivetran; Michigan; On-site; USD 180,000 - 240,000; Full time

Job summary

Fivetran is seeking a Senior Staff Systems Engineer, Data and Integrations to own canonical data models and drive large-scale data initiatives. You will work across Systems Engineering, Analytics, and Eng to move data reliably between marketing, sales, billing, and product systems.

You will mentor engineers, shape integration standards, and ensure data quality and governance across critical business processes.

Qualifications

• A data engineering background with expertise in data modeling, ETL/ELT, data quality testing, and data validation at scale.
• Experience with dbt or a similar transformation framework and with API-based or event-driven integration patterns.
• Ability to design canonical data models and promote data governance across multiple systems.

Responsibilities

• Own canonical data models for marketing, sales, billing and product operations integrations.
• Define standards for data modeling, quality, testing, governance, and documentation across teams.
• Lead design of integration architecture and guidance on batch, real-time and event-driven movement.
• Lead complex data initiatives including migrations, consolidations, and re-implementation of core integrations.
• Develop SQL and Python transformations and pipelines with a focus on quality.
• Create validation and reconciliation approaches for migrations and pipeline changes.
• Build monitoring and data quality framework for end-to-end data health across systems.

Skills

Data modeling

SQL

Python/TypeScript

ETL/ELT

Data quality testing

Data validation

Governance

Documentation

Tools

Salesforce

Netsuite

Coupa

Workday

Zendesk

BigQuery

Celigo

dbt

Job description

Fivetran is seeking a Senior Staff Systems Engineer, Data and Integrations to own canonical data models and drive large-scale data initiatives. You will work across Systems Engineering, Analytics, and Eng to move data reliably between marketing, sales, billing, and product systems.

You will mentor engineers, shape integration standards, and ensure data quality and governance across critical business processes.