Integration Team Lead (Data Engineering)

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap.

Our client is a product company that develops a data-driven advertising platform focused on the healthcare and pharmaceutical industry. The platform enables companies to launch and manage marketing campaigns across multiple digital channels, collect detailed user-level data, and optimize performance using advanced targeting and analytics.

In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power core data infrastructure.

Requirements

• 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs
• Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API
• Strong Python skills (production-grade code, error handling, logging, tests)
• Team leadership experience (2+ engineers)
• Solid understanding of data pipelines (idempotency, backfill, incremental sync, schema evolution)
• Experience with GCP or AWS/Azure
• Experience using AI tools (Copilot, Cursor, Claude Code) in engineering workflows

Nice to have

• Programmatic ecosystem knowledge (DV360, The Trade Desk, OpenRTB)
• BigQuery / ClickHouse
• Terraform / Pulumi
• Understanding of ad metrics (ROAS, attribution, etc.)

Responsibilities

• Own integrations architecture (Meta, LinkedIn, Programmatic platforms)
• Lead a team of 2–4 engineers
• Design and maintain data pipelines (APIs → BigQuery/ClickHouse)
• Ensure reliability (monitoring, alerting, retries)
• Work with OAuth, rate limits, webhooks
• Drive integrations from idea → production
• Collaborate with product team

What we offer

• Fully remote, flexible hours
• Strong impact on product & engineering decisions
• Cross-functional visibility
• AI-first engineering environment
• Fast decision-making, no bureaucracy