Lead Data Architect & Engineer
Core
Design, build, and support cloud-based data architecture, pipelines, and automation for revenue and performance analytics, sales performance dashboards, and financial close processes.
Role type
Senior individual contributor Lead Data Architect & Engineer
Builds
Scalable data infrastructure, ETL/ELT pipelines, semantic layers, and AI-enabled revenue intelligence solutions
Domain
Healthcare / Revenue Operations / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise data pipelines, ETL/ELT processes, Advanced SQL, Python, Data modeling (conceptual/logical/physical), Databricks, Snowflake, Azure Data Factory, Cloud platforms (SaaS/PaaS/IaaS), Infrastructure as Code
Preferred skills
Salesforce integration, API design, Real-time integrations, PySpark, Power BI/Tableau, Financial close/reconciliation, Healthcare industry experience, AI/LLM application
Technologies
Databricks, Snowflake, Azure Data Factory, Salesforce, Outreach, PySpark, Power BI, Tableau
Responsibilities
Design cloud data models for revenue and performance data; Automate data flows for month-end/quarter-end close; Build ETL/ELT pipelines and semantic layers for BI tools; Apply LLMs and agentic workflows for revenue intelligence; Define architecture standards and documentation; Lead complex data initiatives with minimal oversight
Seniority
Senior, hands-on IC