Lead Data Architect

GoFundMe-posted 4 months ago

$253,500 - $380,500/Yr

Full-time • Senior

San Francisco, CA

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

GoFundMe is seeking a Lead Data Architect to join our Data Platform team. This role will be pivotal in modernizing our existing platform and building out a scalable data, reporting and AI architecture to provide scale, enhance product offerings, and meet new business requirements. You will design the blueprint for a modern cloud-native data ecosystem, ensuring it is robust, secure, and future-ready. By establishing standards, optimizing performance, and partnering cross-functionally, you will enable GoFundMe to harness data as a strategic asset that powers insights, innovation, and growth.

Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads.
Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability.
Design scalable architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships.
Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity.
Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse.
Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections).
Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences.
Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics.
Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions.
Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions.

10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role.
Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs.
Hands-on experience with Looker or other BI/semantic modeling tools.
Strong understanding of graph-based data models, recommendation systems, and personalization architectures.
Expertise in data modeling, metadata management, and semantic layers.
Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.).
Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration.
Strong foundation in data governance, lineage, cataloging, and compliance frameworks.
Excellent communication and leadership skills to align technical direction across diverse teams.

Competitive pay and comprehensive healthcare benefits.
Financial assistance for hybrid work, family planning, along with generous parental leave.
Flexible time-off policies and mental health and wellness resources.
Participation in learning, development, and recognition programs.
Commitment to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
Opportunities for community engagement through volunteering and Gives Back programs.

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Data Architect Resume Examples

•

Data Architect Cover Letter Examples

Lead Data Architect

Job Search Resources

Tools

Career Hubs

Guides

Company