Systems Engineer, Data Platform & Integrations
New
P
PavilionData & Systems
United StatesFull-TimeSenior
Salary185,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonSQLSnowflakeData engineeringPostgresRESTful APIsHubSpot
Requirements
- 10+ years of experience in systems engineering, data engineering, analytics engineering, backend engineering, or business systems engineering
- Strong Python experience for building integrations, pipelines, APIs, automations, or backend services
- Advanced SQL and experience with modern data warehouses (e.g., Snowflake)
- Prior ownership of operational databases such as AWS RDS, Postgres, or similar
- Experience building and maintaining integrations with third-party SaaS tools (e.g., Slack, Hivebrite, Circle, Notion, etc.)
- Strong understanding of APIs, webhooks, event-driven workflows, and data synchronization
- Experience with payment, subscription, and CRMs is required; Stripe experience or ability to demonstrate deep understanding of Stripe documentation is necessary
- Strong documentation habits and clear communication with technical and non-technical stakeholders
- Ability to make sound, scalable architecture decisions in a fast-moving environment
Responsibilities
- Validate and implement the next chapter of Pavilion’s system architecture
- Own integrations across core systems, including systems like Stripe, HubSpot, Hivebrite, Slack, Snowflake, AWS RDS or similar, and other third-party tools
- Design and maintain reliable data flows between operational, product, sales, and financial systems, including entitlement logic and payments workflows
- Build and maintain pipelines, transformations, and data models for customer, subscription, payment, revenue, engagement, and access data
- Own the technical layer for entitlements and customer access logic
- Support system migrations and new tool implementations, including data mapping, QA, and downstream reporting impacts
- Improve data quality, freshness, observability, testing, and monitoring
- Document architecture, source-of-truth decisions, data definitions, and system workflows
- Partner with Operations, Sales, Marketing, and Finance to translate business needs into scalable technical solutions and write requirements independently
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