Integration Engineer
Builds and maintains the connections between CRMs, ERPs, marketing platforms, and third-party tools so data flows cleanly across the revenue stack.
Common Tools
The tech stack for this discipline
Zapier
AutomationA no-code workflow automation platform that connects 6,000+ apps through trigger-and-action workflows called Zaps, enabling non-technical users to automate repetitive data flows between business tools.
Used for
RevOps teams use Zapier for lightweight point-to-point automations — creating Salesforce leads from Typeform submissions, posting Slack notifications on deal close, or syncing data between tools without API development.
n8n
AutomationAn open-source, self-hostable workflow automation platform with a visual node-based editor, offering 400+ integrations and the ability to write custom JavaScript for complex data transformations.
Used for
RevOps teams with engineering resources use n8n for complex, privacy-sensitive, or cost-sensitive automation workflows — building self-hosted pipelines for lead enrichment, CRM sync, and internal notification systems.
Make
AutomationA visual no-code/low-code automation platform (formerly Integromat) that handles complex, multi-step workflows with conditional logic, data transformation, and error handling across 1,500+ app integrations.
Used for
RevOps teams use Make to build more sophisticated automation scenarios than Zapier allows — multi-branch lead routing, conditional field updates across systems, and complex data transformation pipelines between tools.
Airbyte
ETL/ELTAn open-source ELT platform with a large community-maintained connector library that allows organizations to replicate data from hundreds of sources into data warehouses and lakes.
Used for
RevOps and data engineering teams use Airbyte as a cost-effective, self-hostable alternative to Fivetran for building data pipelines from CRM, marketing, and product sources into their analytical warehouse.
Segment
OtherTwilio Segment is a customer data platform (CDP) that collects first-party behavioural data from web, mobile, and server sources, standardises it into a common schema, and routes it to hundreds of downstream tools.
Used for
RevOps teams use Segment to create a single source of truth for customer behavioural data, ensuring the same user actions flow consistently into Salesforce, Marketo, Amplitude, and Intercom without duplicate tracking code.
Fivetran
ETL/ELTA fully managed cloud ELT platform with 500+ pre-built connectors that automatically replicates data from SaaS applications, databases, and files into a destination data warehouse.
Used for
RevOps teams use Fivetran to automate the ingestion of Salesforce, HubSpot, Marketo, and other revenue data into Snowflake or BigQuery without building or maintaining custom ETL pipelines.
Workato
AutomationAn enterprise integration and automation platform that enables technical and non-technical teams to build sophisticated multi-step workflows across enterprise systems with governance, security, and error handling at scale.
Used for
RevOps teams at enterprise organisations use Workato to automate complex quote-to-cash workflows, bi-directional CRM syncs, and cross-system data orchestration processes that require enterprise-grade reliability and auditability.
Core Skills
What practitioners do day-to-day
API Integration
TechnicalThe skill of connecting software systems through their application programming interfaces — building, maintaining, and troubleshooting data flows between CRM, marketing, billing, and analytics platforms.
Business outcome
Reliable API integrations eliminate manual data re-entry, reduce reporting lag, ensure system-of-record consistency, and allow the revenue tech stack to operate as one coherent system.
Data Pipeline Design
TechnicalThe ability to architect and build reliable data movement and transformation workflows that extract data from source systems, load it into a warehouse, and transform it into analytics-ready models.
Business outcome
Reliable data pipelines ensure all revenue dashboards reflect accurate, timely data — enabling confident forecasting, attribution, and performance management decisions.
System Architecture
TechnicalThe ability to design the overall topology of a revenue technology stack — mapping how systems connect, where data flows, which system owns each record type, and how the architecture scales with the business.
Business outcome
A well-designed system architecture minimises integration debt, ensures data flows reliably between tools, reduces the cost of adding new capabilities, and prevents the tool sprawl that creates shadow reporting and inconsistent data.
Workflow Automation
TechnicalThe skill of identifying, designing, and implementing automated workflows that replace manual, repetitive RevOps tasks — using tools like Zapier, Make, Workato, or native CRM automation to improve speed and consistency.
Business outcome
Workflow automation eliminates hours of manual administrative work per week — reducing errors, improving process speed, and freeing RevOps team members for higher-value strategic work.