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EarnIn is a data-driven fintech, and our ability to innovate, scale, and deliver excellent customer experiences depends on a modern, reliable, and intelligent data foundation. We’re looking for a Head of Data to lead the vision, evolution, and operational excellence of our end-to-end data ecosystem—powering analytics, machine learning, and product engineering across the company. This role oversees the teams responsible for EarnIn’s data persistence layers, state-of-the-art data platform, and business insights. You will guide the strategy for our next-generation data capabilities, strengthen data governance and reliability, and ensure our data systems remain modern and high-performing to catalyze our AI efforts.
Job Responsibility:
Lead, develop, and scale a high-performing data organization that spans engineering, ML infrastructure, and analytics
Define and execute a company-wide data strategy that aligns platform, product, and AI/ML needs
Manage key vendor and technology partnerships to accelerate EarnIn’s data capabilities
Champion a data-driven culture by empowering teams to experiment, learn, and make confident, insight-led decisions
Ensure the data platform is reliable, observable, and cost-efficient, giving teams clear visibility into the performance and economics of their workloads
Collaborate with product, engineering, finance, risk, marketing, and operations to deliver impactful, well-governed data solutions
Shape technical direction across the company to ensure data is treated and leveraged as a strategic asset
Drive roadmap planning, cross-functional initiatives, and operational execution with clarity and rigor
Requirements:
7+ years of experience in data engineering, infrastructure, and systems
5+ years of building and leading engineering teams
Bachelor's degree in Computer Science, Engineering, Statistics, or equivalent experience
Deep expertise with distributed systems (Spark, Flink), event-driven pipelines (Kafka), and cloud platforms (AWS preferred)
Proficiency in Python and SQL
Strong understanding of database design across SQL and NoSQL ecosystems
Solid experience with CI/CD, Terraform, Git, and modern data orchestration
Proven ability to implement data governance, security, and compliance frameworks
Excellent communication skills and influence across technical and executive teams