Senior Data Architect

1 day ago

Pasay, National Capital Region, Philippines beBeeData Full time $18,000 - $36,000

Join our organization and apply for this Senior Data Integration Engineer role

About Us

We are a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable businesses to access finance worldwide by combining traditional finance with stablecoins for efficient money movement.

Role Overview

This is a strategic technical role for someone who thrives on designing integration architectures that automate workflows, improve data consistency, and provide real-time visibility. You will lead the implementation of integrations with Data and Analytics solutions.

Responsibilities

  • Design and implement scalable integration frameworks and reusable patterns using iPaaS platforms or custom microservices.
  • Lead integration projects across teams (RevOps, Finance, Product, Engineering) to automate business processes and ensure data reliability.
  • Build and maintain real-time and batch integrations across systems like Salesforce, HubSpot, Notion, and internal APIs.
  • Develop internal tooling or SDKs for integration reliability, schema validation, and transformation.
  • Partner with security and IT to ensure compliance, data protection, and auditability of integration workflows.

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.

Tools and Technologies

  • iPaaS / Integration Tools: Workato, Tray.io, Zapier, Make, Boomi, Segment.
  • Languages / APIs: Python, Node.js, REST/GraphQL, Postman, OAuth2.
  • Data Tools: BigQuery, Snowflake, dbt, Airflow.
  • Observability & CI/CD: GitHub Actions, Datadog, Sentry, PagerDuty.

Bonus Experience

  • Built or scaled a centralized integration platform or service catalog.
  • Worked on finance data syncing.
  • Familiarity with data governance, SOC2, or GDPR workflows.
  • Experience enabling self-serve integration workflows or building internal tooling for automation.

Benefits

  • A Global & Dynamic Team.
  • Remote Work Friendly.

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