Lead Data Architect & Engineer

What you'll do

• Design and support a cloud-based data environment for structured and unstructured revenue and performance data.
• Define data architecture and cloud data models based on business, security, and regulatory needs.
• Automate data flows for month-end and quarter-end close processes.
• Build consistent logic for payment, commission, quota, and attainment validation.
• Design ETL/ELT pipelines, APIs, and real-time integrations from systems like Salesforce and Outreach.
• Build fact tables, dimensions, and semantic layers to provide a governed source of truth for Power BI and Tableau.
• Establish design patterns and standards for data, integration, backend, and automation solutions.
• Build governed data foundations and RAG pipelines to enable safe use of AI for revenue intelligence.

What we're looking for

• Bachelor’s degree or an equivalent combination of education and experience.
• 7+ years of experience in data engineering, analytics engineering, or data and application architecture.
• Expert knowledge of enterprise data pipelines, ETL/ELT processes, and data models for sales, revenue, or financial reporting.
• Advanced SQL, Python, and scripting skills for complex queries and large-scale data processing.
• Deep knowledge of conceptual, logical, and physical data modeling, including metadata and lineage.
• Strong hands-on experience with Databricks, Snowflake, and Azure Data Factory.
• Experience integrating Salesforce, Outreach, and finance systems, and designing APIs or real-time integrations.
• Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship.