Senior Staff Data & Integrations Architect

Fivetran; Michigan; On-site; USD 203,000 - 253,000; Full time

Benefits offered by this job

Medical insurance (100% employer-paid)

RSU stock grants

Paid time off

Professional development

Cell phone stipend

Mental health support

Job summary

Fivetran, alongside dbt Labs, seeks a Senior Staff Systems Engineer, Data and Integrations to steer data architecture powering the business. You will own canonical data models for marketing, sales, billing, and product operations, setting standards and leading major migrations and re-platforming of core integrations.

You will collaborate with Systems, Analytics, Engineering, and business partners, mentor engineers, and define data governance, quality, and observability frameworks.

Qualifications

• 10+ years in Data/Analytics Engineering or similar with leadership on multi-team initiatives.
• Expert SQL with complex transformations and data reconciliation.
• Proficiency in Python or TypeScript and production-grade data pipelines.
• Hands-on experience with business systems data models (Salesforce, NetSuite, etc.).
• Experience delivering large-scale ETL/ELT solutions and governance frameworks.
• Ability to balance short-term delivery with long-term data health and architecture.

Responsibilities

• Own canonical data models for marketing, sales, billing, and product ops and map business concepts to data across core systems.
• Define data modeling, quality, testing, governance, and documentation standards across teams.
• Lead design and execution of complex data initiatives including migrations and re-platforming of core integrations.

Skills

SQL

Python/TypeScript

Data modeling

Data pipelines

Leadership

ETL/ELT

Tools

Salesforce

NetSuite

Coupa

Workday

Zendesk

dbt

Celigo

Workato

Boomi

AWS

GCP

CI/CD

Job description

Fivetran, alongside dbt Labs, seeks a Senior Staff Systems Engineer, Data and Integrations to steer data architecture powering the business. You will own canonical data models for marketing, sales, billing, and product operations, setting standards and leading major migrations and re-platforming of core integrations.

You will collaborate with Systems, Analytics, Engineering, and business partners, mentor engineers, and define data governance, quality, and observability frameworks.