Staff Data & Storage Architect

ABOUT EARNIN

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

The Data Architect role at EarnIn is crucial for developing and maintaining our data strategy, ensuring data quality, and integrating data across various systems. This position is designed to address key challenges in data architecture, scalability, data governance, and real-time replication, supporting EarnIn’s business objectives and strategic initiatives. The ideal candidate will have a deep understanding of data architecture principles, as well as experience in leading the adoption of new data technologies.

The base salary range for this full-time position is $206,600 - $308,000 + equity + benefits. Our salary ranges are determined by role, level, and location. We would like to hire this role as a hybrid in our Palo Alto HQ but are open to remote for the right candidate. 

WHAT YOU'LL DO

• Develop Data Strategy: Align EarnIn’s data strategy with business goals to enhance decision-making and provide direction for future data projects.
• Define and Enforce Data Governance: Establish robust data governance policies, standards, and best practices to ensure data integrity and compliance.
• Establish Data Stewardship: Create and define data stewardship roles and responsibilities to promote accountability and ownership of data across the organization.
• Design Data Integration Solutions: Implement solutions for seamless data flow across systems, breaking down data silos and improving data accessibility.
• Ensure Data Quality: Define data quality metrics and standards to ensure the accuracy, completeness, and reliability of data.
• Collaborate with Stakeholders: Work closely with business units, engineering teams, and other stakeholders to understand their data requirements …