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Head of Data

earnin.com Logo

EarnIn

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

315000.00 - 385000.00 USD / Year

Job Description:

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

Nice to have:

Experience with Scala and Databricks is a plus

What we offer:

equity and benefits

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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