Staff Data Engineer

Own the Data Problem Space: Lead the design and implementation of large-scale, chapter-wide data solutions that impact multiple teams, products, and decision-makers.

Architect Data Platforms: Design scalable, reliable data architectures including ingestion, transformation, storage, and analytics layers with long-term sustainability in mind.

Set Technical Standards: Establish and uphold best practices for data modeling, pipeline design, testing, monitoring, and documentation across the organization.

Champion Data Quality & Trust: Drive initiatives focused on data accuracy, completeness, timeliness, consistency, and observability to ensure trusted, decision-ready data.

Influence Across Chapters: Partner with engineering, product, analytics, and leadership teams to align data strategy with business and ministry goals.

Resolve Complex Issues: Diagnose and solve the most complex data reliability, performance, and scaling challenges across pipelines and platforms.

Enable Insight at Scale: Support and evolve event instrumentation, user data processing, and analytical datasets that power insights and experimentation.

Mentor & Develop: Guide data engineers at all levels, fostering a culture of technical excellence, ownership, and continuous learning.

Drive Governance & Security: Collaborate with architects and stakeholders to advance data governance, privacy, and security practices across the data ecosystem.