
Data Engineering Leader
18 hours ago
We are seeking a highly skilled and experienced Senior Data Integration Engineer to lead the implementation, and scale-up of our internal and external system integrations with data and analytics solutions. 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.
This engineer will own the end-to-end lifecycle of integrations: requirements gathering, system design, implementation, deployment, monitoring, and documentation. They will architect scalable integration frameworks and reusable patterns using iPaaS platforms or custom microservices.
- Architecting scalable integration frameworks and reusable patterns
- Designing and implementing 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
The ideal candidate will have 5+ years of experience in integration engineering, data engineering, or similar roles. They will 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.
Key qualifications include:
- 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
Benefits include:
- A dynamic team environment
- Remote work friendly
Bonus experience includes:
- Built or scaled a centralized integration platform or service catalog
- Worked on finance data syncing
- Familiarity with data governance, SOC2, or GDPR workflows
The successful candidate will be responsible for:
- Stitching complex systems together
- Ensuring data reliability
- Partnering with cross-functional stakeholders
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