Architect and productionize a scalable data warehouse or lakehouse environment that serves as the company’s definitive system of record.
Lead the end-to-end integration of primary source systems, including CRM, financial, HR, and marketing data, into a unified platform.
Define and gain cross-functional alignment on standardized business metrics such as ARR, CAC, churn, and headcount costs.
Automate 90% or more of recurring executive and departmental reporting to replace manual processes with real-time, self-service dashboards.
Establish and enforce rigorous data governance standards, including 99% pipeline reliability, comprehensive documentation, and strict access controls.
Partner with leadership across Finance, Marketing, and Operations to translate ambiguous business questions into actionable data products and insights.
Develop a long-term strategic roadmap for the data function, including future hiring plans and the sequencing of specialized engineering and analyst roles.
Drive the adoption of the data platform as the primary engine for recurring business reviews and high-stakes organizational decisions.
Requirements
5+ years of hands-on experience spanning the full data stack, including engineering, analytics engineering, and business intelligence.
Proven track record of building or materially rebuilding an end-to-end production data environment from raw ingestion to stakeholder delivery.
Advanced technical proficiency in SQL, Python, and analytics engineering tools such as dbt for transformation and version control.
Extensive experience designing scalable architectures using modern platforms such as Snowflake, BigQuery, or Databricks.
Deep familiarity with B2B SaaS and recurring revenue metrics, including the ability to model complex customer lifecycles and pipeline conversions.
Demonstrated ability to manage complex, multi-stakeholder projects and maintain momentum in a lean, fast-paced environment.
Expert-level capability in building executive-facing dashboards and reporting layers in tools like Power BI, Tableau, or Looker.
Experience operating as a founding or lead data hire with the ability to balance high-level architecture with hands-on technical execution.