Dave vs. Goliath. We’re Dave.

Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 in short-term advances within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option.

Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most.

The Opportunity

You’ll own the full data lifecycle (ingestion, transformation, modeling, serving, access, quality, lineage) and accelerate AI enablement across the company. Design and evolve data platform and AI Acceleration team. Measure and increase automation across all data and analytics surfaces. Help product, analytics, and science teams move faster because of the platform.

You’ll treat the data platform as a product. Your customers are internal teams. Their velocity is your scorecard.

What You’ll Build and Own

• Define and evolve the end-to-end data platform architecture across batch, streaming, and real-time use cases.

• Embed governance into infrastructure — data quality, lineage, semantic layer, access control, and compliance enforced by design rather than manual process.

• Build scalable ingestion, transformation, and modeling layers that create reliable, trusted, AI-ready datasets for analytics, product, finance, and science teams.

• Accelerate AI adoption through last mile tooling and increase automation.

• Establish operational excellence: clear SLAs, monitoring, observability, cost management and incident response practices that build trust across the company.

• Hire, develop, and retain strong data platform and AI engineers while fostering a culture of ownership, reliability, and thoughtful trade-offs.

• Partner closely with Analytics, Product, Science, Compliance, and Engineering to ensure the platform evolves with business needs.
  

The Impact

When the platform works well, teams ship faster. Decisions are grounded in trusted data and automation. AI moves from experiment to production responsibly. Your leadership directly increases company velocity and strengthens the products that serve our members.

What We’re Looking For

Experience & Technical Foundation

• 10+ years in data engineering or data platform roles.

• 5+ years leading and scaling engineering teams.

• Proven experience designing and operating end-to-end data platforms (ingestion → modeling → serving) in production environments.

• Deep understanding of data modeling approaches across raw, curated, and consumption layers.

• Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation is a regular part of how you build.

• Experience embedding data quality, lineage, access control, and compliance into platform infrastructure.

• Strong architectural judgment across batch and streaming systems.

• Experience building infrastructure that enables AI/ML teams (e.g., feature stores, experiment pipelines, model-serving integrations).

Bonus:

• Experience in fintech or regulated environments.

• Experience modernizing or re-architecting legacy data platforms.
  

What Makes Someone Successful Here

You take ownership of the full lifecycle. You collaborate cross-functionally with Product, Eng, and scientists to design systems that hold up under scale and scrutiny. You balance speed with durability and understand when to invest in long-term platform integrity versus short-term. You improve workflows for others, not just the platform itself.

You think in systems. You understand how ingestion decisions affect modeling, how modeling affects analytics trust, and how governance choices affect product velocity. You build infrastructure that quietly enforces quality and compliance so teams don’t have to rely on manual checks.

You also lead with clarity. You hi