
Strategic Data Integration Architect
1 day ago
We're seeking a skilled professional to lead the implementation and scale-up of our internal and external system integrations with data and analytics solutions. You'll design how data flows across critical business systems, enabling real-time visibility, automation, and operational efficiency across teams.
This is a strategic technical role for someone who thrives on stitching complex systems together, ensuring data reliability, and partnering with cross-functional stakeholders to design scalable, secure integration architectures.
As a senior data integration engineer, you will be responsible for:
- Owning the end-to-end lifecycle of integrations: requirements gathering, system design, implementation, deployment, monitoring, and documentation
- Architecting scalable integration frameworks and reusable patterns using iPaaS platforms or custom microservices
- Leading integration projects across teams (RevOps, Finance, Product, Engineering) to automate workflows and improve data consistency
- Building and maintaining real-time and batch integrations across systems like Salesforce, HubSpot, Notion, and internal APIs
- Partnering with security and IT to ensure compliance, data protection, and auditability of integration workflows
- Developing internal tooling or SDKs for integration reliability, schema validation, and transformation
Responsibilities include owning the entire integration lifecycle, from requirements gathering to deployment and monitoring. You will also architect scalable integration frameworks, lead integration projects, build and maintain integrations, and partner with security and IT.
The ideal candidate has 5+ years of experience in integration engineering, data engineering, or similar roles. They possess deep experience working with APIs, webhooks, OAuth flows, and modern integration platforms. Strong hands-on skills with tools like Zapier, dbt, or custom middleware frameworks are required. Proficiency in Python or JavaScript (Node.js) for scripting and integration logic is necessary. Experience designing for idempotency, error handling, retries, and observability in data syncs is also required.
They should have excellent communication and project delivery skills, able to translate technical details into business value. The ideal candidate will also be familiar with data governance, SOC2, or GDPR workflows. Experience enabling self-serve integration workflows or building internal tooling for automation is a plus.
Requirements- 5+ years of experience in integration engineering, data engineering, or similar roles
- Deep experience working with APIs, webhooks, OAuth flows, and modern integration platforms
- Strong hands-on skills with tools like Zapier, dbt, or custom middleware frameworks
- Proficiency in Python or JavaScript (Node.js) for scripting and integration logic
- Experience designing for idempotency, error handling, retries, and observability in data syncs
- Excellent communication and project delivery skills; able to translate technical details into business value
- A global and dynamic team
- Remote work friendly
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