Systems Integration Expert

About the role

The Systems Integration Expert owns the system-to-system data flows that keep the B2B marketing and revenue technology stack connected. The role designs, builds and operates API-based integrations and ETL pipelines across marketing automation, CRM, lead management, B2B data lifecycle and third-party data platforms, working primarily in Databricks and through custom connectors built against or by vendor APIs. It is also the named technical owner of integration reliability, covering monitoring, error handling, reprocessing and reconciliation, and leads the technical workstream of platform migration.

Key responsibilities

• Design, build and maintain API-based integrations and ETL pipelines between marketing automation, CRM, lead management platforms and third-party data and demand vendors.
• Build ingestion, transformation and orchestration pipelines in Databricks using Python and SQL, deployed via version control and CI/CD.
• Build custom connectors against third-party vendor APIs where no managed connector exists, including authentication, pagination, rate limit handling, incremental extraction and idempotent writes.
• Own integration reliability end to end: monitoring, alerting, error handling, dead letter handling and reprocessing of failed records.
• Implement reconciliation between source and target systems so record counts, rejections and acceptances are measurable.
• Deliver the technical workstream of marketing automation platform migration, including integration inventory, source-to-target mapping, rebuild and cutover testing.
• Support technical due diligence during vendor evaluation and resolve escalated API and integration failures.
• Document integrations, data flows and operational runbooks so they can be operated independently.
• Mentor lower-level employees and contribute to complex projects with independent judgment.

Required profile

• Recommended: 4-year or graduate degree in Computer Science, Software Engineering, Data Engineering or a related discipline, or commensurate experience.
• 3+ years of hands-on experience building production data integrations and ETL pipelines in an enterprise environment.
• Preferred: Databricks Certified Data Engineer or equivalent.

Required skills

• Strong Python and SQL applied to production data pipelines.
• Proven REST API integration experience, including OAuth, pagination, rate limits, retries and idempotent writes.
• Hands-on experience with a cloud data platform, ideally Databricks, including job orchestration and scheduling.
• Experience building custom connectors and working knowledge of CRM data models and lead/contact data flow.
• Version control and CI/CD as normal practice; understanding of data quality, deduplication and identity resolution.